Overview

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Dataset statistics

Number of variables350
Number of observations1980
Missing cells386258
Missing cells (%)55.7%
Total size in memory5.6 MiB
Average record size in memory2.9 KiB

Variable types

Text12
Numeric208
DateTime3
Unsupported100
Boolean27

Dataset

Description[unitless] Answers received from questionnaires. To compare each sensor observation, the frequency was reduced to one minute. The first non-missing name is reported for each of the categorical variables.
Creatorname
Authorname
URL
Copyright(c) liveme organization 2024

Variable descriptions

tokentoken
w1_experimentidexperiment id
w1_fillinquestfillinquest
w1_lastpagelast page
w1_submitdatedate of submission
w1_startlanguagestart language
w1_startdateStart date
w1_datestampdatestamp
w1_refurl reference url
w1_A00_1Having read the informative and the privacy policy in the email (also linked below) ...do you agree to participate in the WENET-Internet of us survey and tell us about your experience as a student at the University of […]?
w1_A00_2Having read the informative and the privacy policy in the email (also linked below) ...do you authorize access to your university administrative data?
w1_A01Which gender were you born? 1. Male, 2. Female?
w1_A02When were you born? Year:
w1_A03What is your nationality? [List, see Appendix]
w1_A03JLUWhat is your nationality? [List, see Appendix]
w1_A04AMRITAQuestion: In what faculty/department are you studying? | Answer:
w1_A04AMRITA_otherQuestion: In what faculty/department are you studying? | Answer:
w1_A04AAUQuestion: In what faculty/department are you studying? | Answer: A04AAU. [List, see Appendix]:1. Electronic Systems 2. Architecture, Design and Media Technology 3. Chemistry and Bioscience 4. Communication and Psychology 5. Culture and Learning 6. Planning 7. Mathematical Sciences 8. Materials and Production 9. Business and Management 10. Sociology and Social Work 11. Political Science 12. Clinical Medicine 13. Built Environment
w1_A04JLUQuestion: In what faculty/department are you studying? | Answer: A04JLU. [List, see Appendix]1. School of Philosophy and Society 2. Art college 3. Archaeological Institute 4. Foreign Language School 5. Art Academy 6. Sports Academy 7. School of Mathematics 8. School of Physics 9. School of Chemistry 10. College of Life Sciences 11. School of Electronic Science and Engineering 12. School of Communication Engineering 13. School of Computer Science and Technology 14. Software College 15. School of Economics 16. Law school 17. School of Administration 18. Business school 19. Institute of Finance 20. School of Mechanical Engineering 21. School of Automotive Engineering 22. material science and Engineering School 23. Jiaotong University 24. College of Biological and Agricultural Engineering 25. School of Management 26. School of Food Science and Engineering 27. School of Earth Sciences 28. School of Earth Exploration Science and Technology 29. School of Construction Engineering 30. School of New Energy and Environment 31. School of Instrument Science and Electrical Engineering 32. Basic Medical School 33. School of Public Health 34. College of Pharmacy 35. School of Nursing 36. School of Clinical Medicine 37. Bethune First Hospital 38. Bethune Second Hospital 39. Bethune Third Hospital 40. Bethune Dental Hospital 41. School of Animal Medicine 42. Faculty of Plant Science 43. College of Animal Science 44. Artificial Intelligence Academy
w1_A04LSEQuestion: In what faculty/department are you studying? | Answer: A04LSE. [List, see Appendix]1. Department of Accounting 2. Department of Anthropology 3. Department of Economics 4. Department of Economic History 5. European Institute 6. Department of Finance 7. Department of Gender Studies 8. Department of Geography and Environment 9. Institute of Global Affairs (IGA) 10. Department of Government 11. Department of Health Policy 12. Department of International Development 13. Department of International History 14. International Inequalities Institute 15. Department of International Relations 16. Language Centre 17. Department of Law 18. Department of Management 19. Marshall Institute 20. Department of Mathematics 21. Department of Media and Communications 22. Department of Methodology 23. Department of Philosophy, Logic and Scientific Method 24. Department of Psychological and Behavioural Science 25. School of Public Policy (formerly Institute of Public Affairs) 26. Department of Social Policy 27. Department of Sociology 28. Department of Statistics
w1_A04NUMQuestion: In what faculty/department are you studying? | Answer: A04NUM. [List, see Appendix]1. Business School 2. School of International Relations and Public Administration 3. School of Law 4. School of Engineering and Applied Sciences 5. School of Sciences – Division of Social Sciences 6. School of Sciences – Division of Natural Sciences 7. School of Sciences – Division of Humanities
w1_A04UCQuestion: In what faculty/department are you studying? | Answer: A04UC. [List, see Appendix]1. Facultad de Ciencias Contables, Administrativas y Económicas 2. Facultad de Ciencias y Tecnología 3. Facultad de Ciencias de la Salud 4. Facultad de Ciencias Jurídicas y Diplomáticas 5. Facultad de Filosofía y Ciencias Humanas
w1_A04UNITNQuestion: In what faculty/department are you studying? | Answer: A04UNITN. [List, see Appendix]1. CIBIO 2. Economics and Management 3. Faculty of Law 4. Physics 5. Civil, Environmental and Mechanical Engineering 6. Information Engineering and Computer Science 7. Industrial Engineering 8. Humanities 9. Mathematics 10. Psychology and Cognitive Science 11. Sociology and Social Research 12. Center Agriculture Food Environment 13. CIMeC - Centre for Mind/Brain Sciences 14. SSI - School of International Studies 15. Other structures
w1_A04IPICYTQuestion: In what faculty/department are you studying? | Answer: A04IPICYT. [List, see Appendix]
w1_A05Type of degree: 1. BSc, 2. MSc, 3.PhD
w1_A05UNITNType of degree: 1. BSc, 2. MSc, 3. 5 years
w1_A05AMRITAType of degree: 1. BSc, 2. MSc, 3.M.B.B.S, 4.MBA, 5.M.Tech, 6.B.Tech, 7.Integrated degree, 8.MHA, 9.B.Pharm, 10.M.D, 11.B.A.M.S, 12.BCA, 13.M.Pharm, 14.MCA, 15.M.S, 16.Mch
w1_A06Programme: 1. Full Time, 2. Part Time
w1_A07[Not for LSE if A05=2 AND A06=1] Course year
w1_A08You are: 1. Regularly enrolled for a BAs/MAs degree, 2. Register on supplementary year
w1_A09 [Not for LSE, NUM, UC and UNITN] Where do you live during term time?: 1. In the town where the university is located. 2. Close to the city where the university is located (less than 1.30 hours of travel). [go to A11] 3. In another city away from where the university is located (more than 1.30 hours of travel) [go to A11] 4. Abroad (e.g., Erasmus student) [go to B01]
w1_A09UNITNWhere do you live during term time? [See Appendix] 1. Trento [go to A10UNITN] 2. Rovereto 3. Close to the city where the university is located (less than 1.30 hours of travel). 4. In another city away from where the university is located (more than 1.30 hours of travel) 5. Abroad (e.g. Erasmus student)
w1_A09UCWhere do you live during term time? [See Appendix]1. Asunción [go to A10UC] 2. In the town where the university is located. 3. Close to the city where the university is located (less than 1.30 hours of travel). 4. In another city away from where the university is located (more than 1.30 hours of travel) 5. Abroad (e.g. Erasmus student)
w1_A10UNITNAnd exactly in which neighbourhood of the town do you live? And exactly in which district of the town do you live? [See Appendix]1. Center (from Cristo Re/San Martino to Fersina) 2. Piedicastello/Vela 3. Trento North (from Gardolo to loc.Solteri/Via Brennero/Via Maccani) 4. North of Gardolo (Lavis, Meano, Spini) 5. Argentario (Cognola/Martignano/Montevaccino/Villamontagna) 6. East hill (Mesiano/Povo/Oltrecastello/San Donà/Cognola/Villazzano) 7. Trento South (Bolghera/Clarina/San Bartolomeo/Madonna Bianca/Villazzano Tre) 8. Mattarello/Ravina/Romagnano 9. Bondone/Cadine/Sardagna/Sopramonte
w1_A10AAUAnd exactly in which neighbourhood of the town do you live? And exactly in which neighbourhood of the town do you live? [See Appendix]1. Vesterbro/Kongens Enghave 2. Nørrebro 3. Østerbro 4. Amager Øst 5. Amager Vest 6. Valby 7. Bispebjerg 8. Vanløse 9. Brønshøj-Husum
w1_A10NUMAnd exactly in which neighbourhood of the town do you live? Please, enter the zip code of where you live during term time [See Appendix]
w1_A10LSEAnd exactly in which neighbourhood of the town do you live? What is your first three digits of post code? [See Appendix]1. London Central (30 minutes from LSE) 2. Outer London (1hour from LSE) 3. Outside London
w1_A10UCAnd exactly in which neighbourhood of the town do you live? What area exactly do you live in? [See Appendix]1. Centro 2. Sajonia 3. San Vicente y Santa Ana 4. Mcal López1 (entre Brasil y Gral Santos) 5. España1 (entre Brasil y Gral Santos) 6. Mcal López2 (entre Gral Santos y Rca. Argentina) 7. España2 (entre Gral Santos y Rca. Argentina) 8. Pinoza/ Seminario 9. Los Laureles 10. Shopping del Sol hasta calle Última 11. Trinidad 12. Loma Pyta
w1_A10IPICYTAnd exactly in which neighbourhood of the town do you live? In which area do you live? [See Appendix]
w1_A11NUMWhat kind of accommodation are you living in? [See Appendix]1. University dormitory (dormitory) 2. In the university apartment 3. Dormitory (Private dormitory) 4. Rental apartment / house 5. Own apartment or house (may be yours, parents 'or relatives') 6. As a private guest / guest (adjoining room for rent) 7. As a friend or guest of friends 8. Mongolian ger and fence 9. Fence in the house
w1_A11 What kind of accommodation are you living in? 1. University students’ Residence (dormitory) (e.g. LSE Hall of Residence, San Bartolameo, Danmarks Internationale Kollegium) 2. University flat 3. University campus4. A private sector Hall of Residence (Private students’ dormitory)5. Rental house/flat 6. in a house/apartment owned (by you, your parents, or relatives) 7. guest of a private person8. guest of friend or friends
w1_B01_1Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Am the life of the party
w1_B01_2Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Sympathize with others’ feelings
w1_B01_3Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Get chores done right away
w1_B01_4Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Have frequent mood swings
w1_B01_5Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Have a vivid imagination
w1_B01_6Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Don’t talk a lot
w1_B01_7Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Am not interested in other people’s problems
w1_B01_8Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Often forget to put things back in their proper place
w1_B01_9Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Am relaxed most of the time
w1_B01_10Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Am not interested in abstract ideas
w1_B01_11Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Talk to a lot of different people at parties
w1_B01_12Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Feel others’ emotions
w1_B01_13Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Like order
w1_B01_14Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Get upset easily
w1_B01_15Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Have difficulty understanding abstract ideas
w1_B01_16Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Keep in the background
w1_B01_17Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Am not really interested in others
w1_B01_18Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Make a mess of things
w1_B01_19Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Seldom feel blue
w1_B01_20Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Do not have a good imagination
w1_B02_1Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: SOCIAL SUPPORT. To obtain help when you need it; to feel that you are not alone in the world.
w1_B02_2Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: SUCCESS. To reach your goals; to be efficient in everything you do.
w1_B02_3Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: SEXUALITY. To have sexual relationships; to obtain sexual pleasure.
w1_B02_4Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: KNOWLEDGE. To look for up-to-date news on not very well-known matters; to try to discover new things about the world.
w1_B02_5Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: EMOTION. To enjoy challenges or unknown situations; to look for adventure.
w1_B02_6Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: POWER. To have the power to influence others and to control decisions; to be the boss of a team.
w1_B02_7Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: AFFECTIVITY. To have a deep and enduring affectionate relationship; to have somebody to share successes and failures.
w1_B02_8Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: RELIGIOSITY. To believe in God as the savior of humanity; to fulfill the will of God.
w1_B02_9Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: HEALTH. To look after your health at all times, not just when sick; not to be sick.
w1_B02_10Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: PLEASURE. To live for the moment; to satisfy all your desires.
w1_B02_11Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: PRESTIGE. To know that a lot of people know and admire you; when you are older to receive a homage for your contributions.
w1_B02_12Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: OBEDIENCE. To fulfill your daily duties and obligations; to respect your parents, superiors, or elders.
w1_B02_13Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: PERSONAL STABILITY. To have the certainty that tomorrow you will have all that you have today; to have an organized and planned life.
w1_B02_14Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: BELONGING. To have good neighborly relationships; to form part of a group (e.g., social, religious, sporting, etc.).
w1_B02_15Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: BEAUTY. To be able to appreciate the best in art, music, and literature; to go to museums or exhibitions where you can see beautiful things.
w1_B02_16Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: TRADITION. To follow the social norms of your country; to respect the traditions of your society.
w1_B02_17Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: SURVIVAL. To have water, food, and shelter every day in your life; to live in a place with enough food.
w1_B02_18Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: MATURITY. To feel that your purpose in life has been fulfilled; to develop all your capacities.
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w1_C01_1How many of the courses/laboratories/credit seminars you are currently attending are provided ...? | Answer: Online live synchronous
w1_C01_2How many of the courses/laboratories/credit seminars you are currently attending are provided ...? | Answer: Online recorded asynchronous
w1_C01_3How many of the courses/laboratories/credit seminars you are currently attending are provided ...? | Answer: Partly synchronously and partly asynchronously
w1_C01_4How many of the courses/laboratories/credit seminars you are currently attending are provided ...? | Answer: In presence
w1_C02_1How often do you attend workshops or other academic activities? (1 “never” – 6 “very often”)
w1_C02_2How often do you take notes in class? (1 “never” – 6 “very often”)
w1_C02_3How often do you review and arrange notes at the end of the lecture? (1 “never” – 6 “very often”)
w1_C02_4How often do you audio record the lecture? (1 “never” – 6 “very often”)
w1_C02_5How often do you study and review notes regularly during the class week? (1 “never” – 6 “very often”)
w1_C02_6How often do you schematize or summarize books or notes related to a course? (1 “never” – 6 “very often”)
w1_C02_7How often do you take part in the activities organized by the course? (1 “never” – 6 “very often”)
w1_C02_8How often do you use specialized websites (e.g., statistics, philosophy, physics…)? (1 “never” – 6 “very often”)
w1_C02_9How often do you use question & answer sites (e.g., Quora, Stack Overflow, Answers.com)? (1 “never” – 6 “very often”)
w1_C02_10How often do you use university websites/platform tools for learning (e.g., Moodle, etc.)? (1 “never” – 6 “very often”)
w1_C02_11How often do you use commercial education platforms (e.g., Coursera, Udemy, Datacamp)? (1 “never” – 6 “very often”)
w1_C02_12How often do you use virtual labs and Amrita University Management Systems? (1 “never” – 6 “very often”)
w1_D01About how many university students can you contact for help in studying?
w1_D02Are you in an informal study group(s) (beside the one you are in for the lab/class project)? 1) Yes 2) No [go to E01]
w1_D03How many informal study groups do you participate in?
w1_D04About how many people are in the informal study group? If you have more than one, think about the one you meet most often
w1_D05How often do you meet? If you meet more than one, think about the one you meet most often.1. Less than once a week2. Once a week3. Twice a week 4. Three days a week 5. Four days a week6. Five or more days a week
w1_E01_1How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Twitter - Weibo
w1_E01_2How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Facebook
w1_E01_3How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : LinkedIn
w1_E01_4How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : YouTube
w1_E01_5How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Instagram
w1_E01_6How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Telegram
w1_E01_7How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Pinterest
w1_E01_8How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Reddit
w1_E01_9How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Flickr
w1_E01_10How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Facebook messenger
w1_E01_11How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : WhatsApp
w1_E01_12How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Google hangouts
w1_E01_13How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Skype
w1_E01_14How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Zoom
w1_E01_15How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Snapchat
w1_E01_16How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Tinder
w1_E01_17How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : WeChat
w1_E01_18How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Viber
w1_E01_19How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : TikTok
w1_E01JLU_1How often do use the following social networking channels? | Answer: Weibo(微博)
w1_E01JLU_2How often do use the following social networking channels? | Answer: LinkedIn
w1_E01JLU_3How often do use the following social networking channels? | Answer: Bilibili
w1_E01JLU_4How often do use the following social networking channels? | Answer: Acfun
w1_E01JLU_5How often do use the following social networking channels? | Answer: lvzhou(绿洲)
w1_E01JLU_6How often do use the following social networking channels? | Answer: Telegram
w1_E01JLU_7How often do use the following social networking channels? | Answer: Pinterest
w1_E01JLU_8How often do use the following social networking channels? | Answer: Huaban(花瓣)
w1_E01JLU_9How often do use the following social networking channels? | Answer: Xiaohongshu(小红书)
w1_E01JLU_10How often do use the following social networking channels? | Answer: Reddit
w1_E01JLU_11How often do use the following social networking channels? | Answer: Tieba(贴吧)
w1_E01JLU_12How often do use the following social networking channels? | Answer: Douban(豆瓣小组)
w1_E01JLU_13How often do use the following social networking channels? | Answer: Skype
w1_E01JLU_14How often do use the following social networking channels? | Answer: Zoom
w1_E01JLU_15How often do use the following social networking channels? | Answer: Tencent Meeting(腾讯会议)
w1_E01JLU_16How often do use the following social networking channels? | Answer: DingDing(钉钉)
w1_E01JLU_17How often do use the following social networking channels? | Answer: Tinder
w1_E01JLU_18How often do use the following social networking channels? | Answer: Tantan(探探)
w1_E01JLU_19How often do use the following social networking channels? | Answer: Momo(陌陌)
w1_E01JLU_20How often do use the following social networking channels? | Answer: WeChat(微信)
w1_E01JLU_21How often do use the following social networking channels? | Answer: QQ
w1_E01JLU_22How often do use the following social networking channels? | Answer: TikTok(抖音)
w1_E01JLU_23How often do use the following social networking channels? | Answer: Kuaishou(快手)
w1_E01JLU_24How often do use the following social networking channels? | Answer: Huoshan (火山小视频)
w1_E02_1Do you use social networking sites to solve an academic problem? (1 “never” – 6 “very often”)
w1_E02_2Do you use social networking sites to do research work? (1 “never” – 6 “very often”)
w1_E02_3Do you use social networking sites for online academic group discussion? (1 “never” – 6 “very often”)
w1_E02_4Do you use social networking sites to prepare for an examination? (1 “never” – 6 “very often”)
w1_E02_5Do you use social networking sites for collaborative learning? (1 “never” – 6 “very often”)
w1_E02_6Do you use social networking sites to keep you up to date with the activities of your university? (1 “never” – 6 “very often”)
w1_E02_7Do you use social networking sites to seek help from your teachers? (1 “never” – 6 “very often”)
w1_E02_8Do you use social networking sites to become sociable? (1 “never” – 6 “very often”)
w1_E02_9Do you use social networking sites to create your social identity? (1 “never” – 6 “very often”)
w1_E02_10Do you use social networking sites to attend social gatherings? (1 “never” – 6 “very often”)
w1_E02_11Do you use social networking sites to keep in touch with my friends? (1 “never” – 6 “very often”)
w1_E02_12Do you use social networking sites to keep in touch with my relatives? (1 “never” – 6 “very often”)
w1_E02_13Do you use social networking sites to get information regarding current social events? (1 “never” – 6 “very often”)
w1_E02_14Do you use social networking sites for sharing pictures? (1 “never” – 6 “very often”)
w1_E02_15Do you use social networking sites to look at funny stories? (1 “never” – 6 “very often”)
w1_E02_16Do you use social networking sites for watching movies? (1 “never” – 6 “very often”)
w1_E02_17Do you use social networking sites to get relief from academic stress? (1 “never” – 6 “very often”)
w1_E02_18Do you use social networking sites for reading news? (1 “never” – 6 “very often”)
w1_E02_19Do you use social networking sites to share new ideas? (1 “never” – 6 “very often”)
w1_E02_20Do you use social networking sites for getting jobs related information? (1 “never” – 6 “very often”)
w1_E02_21
w1_E03You know what a chatbot is? 1. Yes, 2. No [go to F01]
w1_E04Currently, do you use some chatbot? 1. Yes [go to E06], 2. No
w1_E05In the past, have you tried to talk/converse with a chatbot? 1. Yes [go to F01], 2. No [go to F01]
w1_E06How many chatbot apps have you installed on your smartphone? N.|__|
w1_E07Can you tell us which chatbot(s) you have installed on your smartphone? App Name(s) (________)
w1_E08How often do use the chatbot? (1) Rarely/Never; (2) Every few weeks; (3) A few times a week; (4) About once a day; (5) Several times a day
w1_E09_1How much do you agree with the following statement: if the chatbot shows you ads (advertisements) based on your online activity? (1 Totally disagree; 2 Disagree; 3 Neutral; 4 Agree; 5 Totally Agree)
w1_E09_2How much do you agree with the following statement: if the chatbot knew who you were, without logging in? (1 Totally disagree; 2 Disagree; 3 Neutral; 4 Agree; 5 Totally Agree)
w1_E09_3How much do you agree with the following statement: if the chatbot analysed you, even when using other apps (applications)? (1 Totally disagree; 2 Disagree; 3 Neutral; 4 Agree; 5 Totally Agree)
w1_E09_4How much do you agree with the following statement: if the chatbot identified your age? (1 Totally disagree; 2 Disagree; 3 Neutral; 4 Agree; 5 Totally Agree)
w1_E09_5How much do you agree with the following statement: if the chatbot identified your gender? (1 Totally disagree; 2 Disagree; 3 Neutral; 4 Agree; 5 Totally Agree)
w1_E09_6How much do you agree with the following statement: if the chatbot identified your religious/political views? (1 Totally disagree; 2 Disagree; 3 Neutral; 4 Agree; 5 Totally Agree)
w1_E09_7How much do you agree with the following statement: if individuals or groups perform threatening acts to other users, through the chatbot? (1 Totally disagree; 2 Disagree; 3 Neutral; 4 Agree; 5 Totally Agree)
w1_F01Are you a part of, or are you a member of, any student association or group and/or other nonstudents associations? (e.g. religious, political, sports, etc.) 1) Only student ass. [go to F02], 2)Only nonstudent ass. [go to F04], 3) Both, 4) No [go to G01]
w1_F02
w1_F03_1Please mark the categories of interest of the society(ies) you belong to: Faith
w1_F03_2Please mark the categories of interest of the society(ies) you belong to: Arts and Performance
w1_F03_3Please mark the categories of interest of the society(ies) you belong to: Activity and specialist (e.g., music, alt music, wine, dance, video makers)
w1_F03_4Please mark the categories of interest of the society(ies) you belong to: Cultural and National
w1_F03_5Please mark the categories of interest of the society(ies) you belong to: Careers
w1_F03_6Please mark the categories of interest of the society(ies) you belong to: Volunteering and Charity
w1_F03_7Please mark the categories of interest of the society(ies) you belong to: Political (e.g., Pacifist, environmentalist, civil rights advocate, political party)
w1_F03_8Please mark the categories of interest of the society(ies) you belong to: Media
w1_F03_9Please mark the categories of interest of the society(ies) you belong to: Sport
w1_F03_10Please mark the categories of interest of the society(ies) you belong to: Recreational
w1_F03_otherPlease mark the categories of interest of the society(ies) you belong to: Other, specify: ________
w1_F04_1Please mark the categories of interest of the society(ies) you belong to nonstudents association: Faith
w1_F04_2Please mark the categories of interest of the society(ies) you belong to nonstudents association: Arts and Performance
w1_F04_3Please mark the categories of interest of the society(ies) you belong to nonstudents association: Activity and specialist (e.g., music, alt music, wine, dance, video makers)
w1_F04_4Please mark the categories of interest of the society(ies) you belong to nonstudents association: Cultural and National
w1_F04_5Please mark the categories of interest of the society(ies) you belong to nonstudents association: Careers
w1_F04_6Please mark the categories of interest of the society(ies) you belong to nonstudents association: Volunteering and Charity
w1_F04_7Please mark the categories of interest of the society(ies) you belong to nonstudents association: Political (e.g., Pacifist, environmentalist, civil rights advocate, political party)
w1_F04_8Please mark the categories of interest of the society(ies) you belong to nonstudents association: Media
w1_F04_9Please mark the categories of interest of the society(ies) you belong to nonstudents association: Sport
w1_F04_10Please mark the categories of interest of the society(ies) you belong to nonstudents association: Recreational
w1_F04_otherPlease mark the categories of interest of the society(ies) you belong to nonstudents association: Other, specify
w1_G01_1Have you done any of the following activities in the last year or so? Acted in a theatre play (1) YES (2) NO
w1_G01_2Have you done any of the following activities in the last year or so? Directed a theatre play (1) YES (2) NO
w1_G01_3Have you done any of the following activities in the last year or so? Performed as a stand-up comedian (1) YES (2) NO
w1_G01_4Have you done any of the following activities in the last year or so? Sung in a choir, a vocal ensemble, opera/operetta/musical troupe, pop-rock jazz, folk band, rapped (1) YES (2) NO
w1_G01_5Have you done any of the following activities in the last year or so? Played a musical instrument (1) YES (2) NO
w1_G01_6Have you done any of the following activities in the last year or so? Played a musical instrument in an orchestra or pop/rock/jazz/folk band (1) YES (2) NO
w1_G01_7Have you done any of the following activities in the last year or so? Composed music or performed as DJ (1) YES (2) NO
w1_G01_8Have you done any of the following activities in the last year or so? Danced (ballet or modern dance, ballroom dance, Latin American dance, jazz dance, hip hop, break dance, street dance, folk dance) (1) YES (2) NO
w1_G01_9Have you done any of the following activities in the last year or so? Did choreography for a dance performance (1) YES (2) NO
w1_G02_1How often did you follow, view and/or listen to the recordings of Theatre plays? (1) Never, (2) ... , (6) Very often
w1_G02_2How often did you follow, view and/or listen to the recordings of Cabarets, or a stand-up comedy? (1) Never, (2) ... , (6) Very often
w1_G02_3How often did you follow, view and/or listen to the recordings of Ballets or a modern dance? (1) Never, (2) ... , (6) Very often
w1_G02_4How often did you follow, view and/or listen to the recordings of Classical music? (1) Never, (2) ... , (6) Very often
w1_G02_5How often did you follow, view and/or listen to the recordings of Opera? (1) Never, (2) ... , (6) Very often
w1_G02_6How often did you follow, view and/or listen to the recordings of Musical? (1) Never, (2) ... , (6) Very often
w1_G02_7How often did you follow, view and/or listen to the recordings of Pop or rock? (1) Never, (2) ... , (6) Very often
w1_G02_8How often did you follow, view and/or listen to the recordings of Jazz or blues? (1) Never, (2) ... , (6) Very often
w1_G02_9How often did you follow, view and/or listen to the recordings of Folk music concert? (1) Never, (2) ... , (6) Very often
w1_G02_10How often did you follow, view and/or listen to the recordings of World music? (1) Never, (2) ... , (6) Very often
w1_G02_11How often did you follow, view and/or listen to the recordings of Urban (rap, hip-hop, trap)? (1) Never, (2) ... , (6) Very often
w1_G02_12How often did you follow, view and/or listen to the recordings of Dance or house? (1) Never, (2) ... , (6) Very often
w1_G02_13How often did you follow, view and/or listen to the recordings of Popular national or local music? (1) Never, (2) ... , (6) Very often
w1_G02_14How often did you follow, view and/or listen to the recordings of A singer/songwriter? (1) Never, (2) ... , (6) Very often
w1_G02_15How often did you follow, view and/or listen to the recordings of Other music? (1) Never, (2) ... , (6) Very often
w1_G02_16How often did you follow, view and/or listen to the recordings of A sport events? (1) Never, (2) ... , (6) Very often
w1_G03_1Have you done any of the following activities during the last year or so?: Created paintings, drawings, graphical works (by hand) (1) Never, (2) ... , (5) Very often
w1_G03_2Have you done any of the following activities during the last year or so?: Created photographs as a hobby (excluding family and/or holiday pictures) (1) Never, (2) ... , (5) Very often
w1_G03_3Have you done any of the following activities during the last year or so?: Created sculptures, pottery, glass, jewels, textile works (1) Never, (2) ... , (5) Very often
w1_G03_4Have you done any of the following activities during the last year or so?: Written any poetry, prose, fiction or non-fiction in your leisure time (1) Never, (2) ... , (5) Very often
w1_G03_5Have you done any of the following activities during the last year or so?: Had a blog or an own website on the internet (1) Never, (2) ... , (5) Very often
w1_G03_6Have you done any of the following activities during the last year or so?: Published your own work (novel) on paper (1) Never, (2) ... , (5) Very often
w1_G03_7Have you done any of the following activities during the last year or so?: Published your own work (novel) in whatever form on the internet (including weblogs, ezines, and other internet publications) (1) Never, (2) ... , (5) Very often
w1_G03_8Have you done any of the following activities during the last year or so?: Uploaded your own film(s) or video(s) on the internet (1) Never, (2) ... , (5) Very often
w1_G03_9Have you done any of the following activities during the last year or so?: Uploaded images of your work of visual arts and crafts on the internet (1) Never, (2) ... , (5) Very often
w1_G03_10Have you done any of the following activities during the last year or so?: Uploaded either your own performance or performance of your company, ensemble, or group on the internet (1) Never, (2) ... , (5) Very often
w1_G04_1During the last year or so... Did you view paintings, drawings, graphical works, photos, and sculptures, products of crafts or virtual exhibitions of visual arts or crafts (on the internet or other media)? (1) Never, (2) ... , (5) Very often
w1_G04_2During the last year or so... Did you view or listen to a programme about visual arts and crafts (on television, radio, video, DVD, internet, or other media)? (1) Never, (2) ... , (5) Very often
w1_G04_3During the last year or so... Did you visit a museum in your own country or abroad? (1) Never, (2) ... , (5) Very often
w1_G04_4During the last year or so... Did you visit galleries or exhibitions in your own country or abroad? (1) Never, (2) ... , (5) Very often
w1_G04_5During the last year or so... Did you visit monuments, historical or artistic places, famous buildings or archaeological sites in your own country or abroad? (1) Never, (2) ... , (5) Very often
w1_G04_6During the last year or so... Did you view virtual exhibitions of art or any kind of museum objects, monuments, historical or artistic places, buildings or sites (on the internet or other media)? (1) Never, (2) ... , (5) Very often
w1_G04_7During the last year or so... Did you make at least one film or one video as an artistic hobby (thus excluding family and holidays films or videos)? (1) Never, (2) ... , (5) Very often
w1_G04_8During the last year or so... Did you go to the cinema or a film festival in your own country? (1) Never, (2) ... , (5) Very often
w1_G04_9During the last year or so... Did you visit a zoo or animal park? (1) Never, (2) ... , (5) Very often
w1_G04_10During the last year or so... Did you visit a natural reserve? (1) Never, (2) ... , (5) Very often
w1_G05_1During the last year or so... How often did you visit a bookshop in your own country or abroad? 1. Never, 2., 3., 4., 5., 6. Very often
w1_G05_2During the last year or so... How often did you visit an online bookshop and/or search for literature and other material available in a library on the internet? 1. Never, 2., 3., 4., 5., 6. Very often
w1_G06Approximately, how many books (printed or eBook) do you have where you live? 1. None 2. 1-25 3. 26-50 4. 51-100 5. 101-200 6. 201-400 7. More than 400
w1_G07_1During the last year or so... Did you read a printed book in your leisure time? [If YES go to G17] (1) Yes; (2) No
w1_G07_2During the last year or so... Did you read a book in digital form (i.e., on the internet, downloaded from the internet) in your leisure time? [If YES go to G17] (1) Yes; (2) No
w1_G08_1Which kind of books did you read? (tick all that apply): Literature & Novels
w1_G08_2Which kind of books did you read? (tick all that apply): Science Fiction & Fantasy
w1_G08_3Which kind of books did you read? (tick all that apply): Mystery & Thrillers
w1_G08_4Which kind of books did you read? (tick all that apply): History
w1_G08_5Which kind of books did you read? (tick all that apply): Biographies
w1_G08_6Which kind of books did you read? (tick all that apply): Health, Mind & Body
w1_G08_7Which kind of books did you read? (tick all that apply): Other kind of books
w1_G09In the last year or so, approximately how many books have you read (not for study)? |__|__|
w1_G10_1Do you read printed magazines and/or periodicals in your leisure time? (1) At least five times a week, (2) Every week or almost every week, (3) Few times a month, (4) Once a month, (5) Less often, (6) Never
w1_G10_2Do you read magazines and/or periodicals in digital form (i.e., on the internet, downloaded from the internet) in your leisure time? (1) At least five times a week, (2) Every week or almost every week, (3) Few times a month, (4) Once a month, (5) Less often, (6) Never
w1_G10_3Do you read printed newspapers? (1) At least five times a week, (2) Every week or almost every week, (3) Few times a month, (4) Once a month, (5) Less often, (6) Never
w1_G10_4Do you read newspapers in digital form (i.e., on the internet, downloaded from the internet)? (1) At least five times a week, (2) Every week or almost every week, (3) Few times a month, (4) Once a month, (5) Less often, (6) Never
w1_G11_1Do you watch films on television, videos, DVD, internet, or other media? (1) Every day or almost every day, (2) Few times a week, (3) Few times a month, (4) Less than once a month, (5) Never
w1_G11_2Do you download films from the internet? (1) Every day or almost every day, (2) Few times a week, (3) Few times a month, (4) Less than once a month, (5) Never
w1_H01fWhich is/was the highest educational level of your father or guardian …? 1. Primary education 2. Lower secondary education 3. Upper secondary education 4. Post-secondary non-tertiary education 5. First stage of tertiary education (undergraduate qualification: BA) 6. Second stage of tertiary education (graduate degree qualification: MA) 7. Higher tertiary education (post-graduate degree qualification: Doctoral degree) 8. Prefer not to say 9. Don’t know 10. Other, please specify: _____
w1_H01f_otherWhich is/was the highest educational level of your father or guardian …? Answer: Other, please specify: _____
w1_H01mWhich is/was the highest educational level of your father or guardian …? 1. Primary education 2. Lower secondary education 3. Upper secondary education 4. Post-secondary non-tertiary education 5. First stage of tertiary education (undergraduate qualification: BA) 6. Second stage of tertiary education (graduate degree qualification: MA) 7. Higher tertiary education (post-graduate degree qualification: Doctoral degree) 8. Prefer not to say 9. Don’t know 10. Other, please specify: _____
w1_H01m_otherWhich is/was the highest educational level of your mother or guardian …? Answer: Other, please specify: _____
w1_H01fLSE
w1_H01mLSE
w1_H02fWhen you were 14 years old, did your father or guardian work as …? 1. Employee [go to H03F/M] 2. Self-employed person [go to H04F/M] 3. Employed in law enforcement / armed forces [go to H03F/M] 4. Household 5. Retired 6. Other/unemployed 7. Missed/absent when I was 14 years old. 8. I prefer not to answer 9. Don’t know
w1_H03afMore precisely he or guardian is/was an….? 1. High-ranking executive (e.g., high government official, judge, university professor, general or colonel) 2. Senior employee – Manager/official (e.g., director, head researcher in private institutes, serving members of the military forces with a lower rank to a colonel, etc.) 3. Employee with high technical/scientific and professional qualification (e.g., engineer, chemist, physicist, social worker, graduate technician, publicist, etc.) 4. University lecturer (Associate professor) 5. Secondary school teacher 6. Primary school or pre-school teacher 7. Employee with high and middle qualification level (e.g., university researcher, chartered surveyor, accountant, data analyst, bank cashier, chief secretary, public relations agent, professional nurse, archivist, non-commissioned armed forces officer, etc.) 8. Secretary or similar 9. Managerial employee (e.g., front officer, receptionist, professional soldier, policeman and/or similar) 10. Salesman or similar 11. Worker in services (e.g., barman, waiter, chef, delivery person, domestic worker) 12. Foreman or supervisor 13. Skilled worker or similar (e.g., chief motor mechanic, chief printer, chief tool and die maker, chief electrician) 14. Semi-skilled worker (e.g., bricklayer, bus driver, cannery worker, carpenter, sheet metal worker, baker) 15. Unskilled worker 16. Agricultural worker – farm labourer–fisherman 17. Prefer not to say 18. Don’t know 19. Other position as employee
w1_H03af_otherMore precisely he or guardian is/was an….? Answer: Other, please specify: _____
w1_H03bfw1_H04bf - More precisely he or guardian is/was an….? 1. Entrepreneur, CEO, Tenant farmer or similar with more than 50 employees 2. Entrepreneur, CEO, Tenant farmer or similar with 14-49 employees 3. High-rank administrator, managing director (e.g., banker, executive in big business, high government official, union official) 4. Freelance worker (e.g., teacher, engineer, artist, accountant) 5. Self-employed worker/ craftworker with 1-14 employees 6. Self-employed worker/ craftworker without employees 7. Occasional self-employed worker 8. Self-employed workers without specific qualification (e.g., delivery person, driver, street vendor) 9. Tenant farmer or similar with 1-14 employees 10. Tenant farmer or similar without employees 11. Family helper in industry and services 12. Family helper in the agricultural sector 13. Member of a Co-operative company 14. Prefer not to say 15. Don’t know 16. Other position as self-employed worker
w1_H03bf_otherw1_H04bf_other - More precisely he or guardian is/was an….? Other, please specify: _____
w1_H02mWhen you were 14 years old, did your mother or guardian work as …? 1. Employee [go to H03F/M] 2. Self-employed person [go to H04F/M] 3. Employed in law enforcement / armed forces [go to H03F/M] 4. Household 5. Retired 6. Other/unemployed 7. Missed/absent when I was 14 years old. 8. I prefer not to answer 9. Don’t know
w1_H03amMore precisely she or guardian is/was an….? 1. High-ranking executive (e.g., high government official, judge, university professor, general or colonel) 2. Senior employee – Manager/official (e.g., director, head researcher in private institutes, serving members of the military forces with a lower rank to a colonel, etc.) 3. Employee with high technical/scientific and professional qualification (e.g., engineer, chemist, physicist, social worker, graduate technician, publicist, etc.) 4. University lecturer (Associate professor) 5. Secondary school teacher 6. Primary school or pre-school teacher 7. Employee with high and middle qualification level (e.g., university researcher, chartered surveyor, accountant, data analyst, bank cashier, chief secretary, public relations agent, professional nurse, archivist, non-commissioned armed forces officer, etc.) 8. Secretary or similar 9. Managerial employee (e.g., front officer, receptionist, professional soldier, policeman and/or similar) 10. Salesman or similar 11. Worker in services (e.g., barman, waiter, chef, delivery person, domestic worker) 12. Foreman or supervisor 13. Skilled worker or similar (e.g., chief motor mechanic, chief printer, chief tool and die maker, chief electrician) 14. Semi-skilled worker (e.g., bricklayer, bus driver, cannery worker, carpenter, sheet metal worker, baker) 15. Unskilled worker 16. Agricultural worker – farm labourer–fisherman 17. Prefer not to say 18. Don’t know 19. Other position as employee
w1_H03am_otherMore precisely she or guardian is/was an….? Answer: Other, please specify: _____
w1_H03bmw1_H04bm - More precisely she or guardian is/was an….? 1. Entrepreneur, CEO, Tenant farmer or similar with more than 50 employees 2. Entrepreneur, CEO, Tenant farmer or similar with 14-49 employees 3. High-rank administrator, managing director (e.g., banker, executive in big business, high government official, union official) 4. Freelance worker (e.g., teacher, engineer, artist, accountant) 5. Self-employed worker/ craftworker with 1-14 employees 6. Self-employed worker/ craftworker without employees 7. Occasional self-employed worker 8. Self-employed workers without specific qualification (e.g., delivery person, driver, street vendor) 9. Tenant farmer or similar with 1-14 employees 10. Tenant farmer or similar without employees 11. Family helper in industry and services 12. Family helper in the agricultural sector 13. Member of a Co-operative company 14. Prefer not to say 15. Don’t know 16. Other position as self-employed worker
w1_H03bm_other w1_H04bf_other - More precisely she or guardian is/was an….? Other, please specify: _____
w1_I00Do you want to participate? 1. Yes, 2. No [go to I05]
w1_I01 Your personal main smartphone is an: 1. iPhone1 [go to I05] 2. Android operating system (Samsung, etc...) with version 5.0 or higher?2 3. Another operating system [go to I05] 1Unfortunately, the app is ONLY available for Android devices. 2To know your operating system go to Settings on your smartphone and click ‘Info on the device/phone’
w1_I03How many Mobile phones do you have? N. |__|
w1_I04 I agree to report my name to the person in charge of the research project entitled WeNet - Internet of us (https://www.internetofus.eu/) and to be contacted to receive further explanations for my possible participation. 1. Yes 2. No [go to I05]
w1_BFI15_1Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I often worry about trifles.
w1_BFI15_2Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I often feel disturbed.
w1_BFI15_3Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I always worry that something bad is going to happen.
w1_BFI15_4Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I like to plan things from the beginning.
w1_BFI15_5Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I am diligent in my work or study.
w1_BFI15_6Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: One of my characteristics is doing things logically and orderly.
w1_BFI15_7Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I think most people are well-intentioned.
w1_BFI15_8Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: Although there are some frauds in the society, I think most people can be trusted.
w1_BFI15_9Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: Although there are some bad things in human society (such as war, evil and fraud), I still believe that human nature is generally good.
w1_BFI15_10Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I'm a person who loves to take risks and break the rules.
w1_BFI15_11Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I like adventure.
w1_BFI15_12Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I have a spirit of adventure that no one else has.
w1_BFI15_13Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I'm bored by parties with lots of people.
w1_BFI15_14Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I try to avoid parties with lots of people and noisy environments.
w1_BFI15_15Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I like to go to social and recreational parties.
w1_GT_BF15
w1_N01How did you make a decision to become a student? 1. By myself 2. Followed my parents' advice 3. Followed my brother/sister's advice4. Other, please specify: ____
w1_N01_otherHow did you make a decision to become a student? | Answer: Other, please specify: ____
w1_N02Are you a resident of the city? 1. Born in the city 2. Migrated to the city [go to N03]
w1_N03From where did you migrate? 1. Arkhangai 2. Bayan-Ulgii 3. Баянхонгор 4. Bayankhongor 5. Govi-Altai 6. Govisumber 7. Darkhan-Uul 8. Dornogovi 9. Dornod 10. Dundgovi 11. Zavkhan 12. Orkhon 13. Uvurkhangai 14. Umnugovi 15. Sukhbaatar 16. Selenge 17. Tuv 18. Uvs 19. Khovd 20. Khuvsgul 21. Khentii
w1_N04For how long are you living in the current place? 1. Less than 1 year 2. 1-2 years 3. 3-4 years 4. 4-5 years 5. 5 or more years
w1_N05_1Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.
w1_N05_2Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.
w1_N05_3Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.
w1_N05_4Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.
w1_N05_5Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.
w1_N05_6Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.
w1_N05_7Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.
w1_N05_8Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.
w1_N06Please, give the reason to migrate to the city 1. To study 2. Followed my parent's decision 3. Followed my brother/sister's decision 4. To work 5. To change my living place 6. Other, please specify: ____
w1_N06_otherPlease, give the reason to migrate to the city. | Answer: Other, please specify: ____
w1_interviewtimetime of interview
w1_GT_A0
w1_GT_A1
w1_GT_B
w1_GT_C
w1_GT_D
w1_GT_E
w1_GT_F
w1_GT_G1
w1_GT_G2
w1_GT_G3
w1_GT_H1
w1_GT_H2
w1_GT_I1
w1_GT_I2
w1_GT_N

Alerts

w1_experimentid has constant value "wenetUK" Constant
w1_F03_1 is highly imbalanced (78.7%) Imbalance
w1_F03_2 is highly imbalanced (69.9%) Imbalance
w1_F03_3 is highly imbalanced (90.5%) Imbalance
w1_F03_4 is highly imbalanced (52.5%) Imbalance
w1_F03_6 is highly imbalanced (61.8%) Imbalance
w1_F03_7 is highly imbalanced (56.6%) Imbalance
w1_F03_8 is highly imbalanced (85.2%) Imbalance
w1_F03_9 is highly imbalanced (57.6%) Imbalance
w1_F03_10 is highly imbalanced (73.1%) Imbalance
w1_F04_1 is highly imbalanced (79.9%) Imbalance
w1_F04_2 is highly imbalanced (89.6%) Imbalance
w1_F04_3 is highly imbalanced (95.0%) Imbalance
w1_F04_4 is highly imbalanced (88.1%) Imbalance
w1_F04_5 is highly imbalanced (87.8%) Imbalance
w1_F04_6 is highly imbalanced (75.8%) Imbalance
w1_F04_7 is highly imbalanced (74.7%) Imbalance
w1_F04_8 is highly imbalanced (96.6%) Imbalance
w1_F04_9 is highly imbalanced (84.1%) Imbalance
w1_F04_10 is highly imbalanced (90.9%) Imbalance
w1_lastpage has 183 (9.2%) missing values Missing
w1_submitdate has 863 (43.6%) missing values Missing
w1_refurl has 1910 (96.5%) missing values Missing
w1_A00_1 has 183 (9.2%) missing values Missing
w1_A00_2 has 1980 (100.0%) missing values Missing
w1_A01 has 370 (18.7%) missing values Missing
w1_A02 has 373 (18.8%) missing values Missing
w1_A03 has 372 (18.8%) missing values Missing
w1_A03JLU has 1980 (100.0%) missing values Missing
w1_A04AMRITA has 1980 (100.0%) missing values Missing
w1_A04AMRITA_other has 1980 (100.0%) missing values Missing
w1_A04AAU has 1980 (100.0%) missing values Missing
w1_A04JLU has 1980 (100.0%) missing values Missing
w1_A04LSE has 364 (18.4%) missing values Missing
w1_A04NUM has 1980 (100.0%) missing values Missing
w1_A04UC has 1980 (100.0%) missing values Missing
w1_A04UNITN has 1980 (100.0%) missing values Missing
w1_A04IPICYT has 1980 (100.0%) missing values Missing
w1_A05 has 363 (18.3%) missing values Missing
w1_A05UNITN has 1980 (100.0%) missing values Missing
w1_A05AMRITA has 1980 (100.0%) missing values Missing
w1_A06 has 458 (23.1%) missing values Missing
w1_A07 has 1296 (65.5%) missing values Missing
w1_A08 has 553 (27.9%) missing values Missing
w1_A09 has 364 (18.4%) missing values Missing
w1_A09UNITN has 1980 (100.0%) missing values Missing
w1_A09UC has 1980 (100.0%) missing values Missing
w1_A10UNITN has 1980 (100.0%) missing values Missing
w1_A10AAU has 1980 (100.0%) missing values Missing
w1_A10NUM has 1980 (100.0%) missing values Missing
w1_A10LSE has 902 (45.6%) missing values Missing
w1_A10UC has 1980 (100.0%) missing values Missing
w1_A10IPICYT has 1980 (100.0%) missing values Missing
w1_A11NUM has 1980 (100.0%) missing values Missing
w1_A11 has 586 (29.6%) missing values Missing
w1_B01_1 has 631 (31.9%) missing values Missing
w1_B01_2 has 630 (31.8%) missing values Missing
w1_B01_3 has 632 (31.9%) missing values Missing
w1_B01_4 has 631 (31.9%) missing values Missing
w1_B01_5 has 632 (31.9%) missing values Missing
w1_B01_6 has 632 (31.9%) missing values Missing
w1_B01_7 has 631 (31.9%) missing values Missing
w1_B01_8 has 632 (31.9%) missing values Missing
w1_B01_9 has 632 (31.9%) missing values Missing
w1_B01_10 has 633 (32.0%) missing values Missing
w1_B01_11 has 633 (32.0%) missing values Missing
w1_B01_12 has 636 (32.1%) missing values Missing
w1_B01_13 has 632 (31.9%) missing values Missing
w1_B01_14 has 633 (32.0%) missing values Missing
w1_B01_15 has 633 (32.0%) missing values Missing
w1_B01_16 has 637 (32.2%) missing values Missing
w1_B01_17 has 631 (31.9%) missing values Missing
w1_B01_18 has 633 (32.0%) missing values Missing
w1_B01_19 has 635 (32.1%) missing values Missing
w1_B01_20 has 631 (31.9%) missing values Missing
w1_B02_1 has 634 (32.0%) missing values Missing
w1_B02_2 has 634 (32.0%) missing values Missing
w1_B02_3 has 636 (32.1%) missing values Missing
w1_B02_4 has 637 (32.2%) missing values Missing
w1_B02_5 has 636 (32.1%) missing values Missing
w1_B02_6 has 636 (32.1%) missing values Missing
w1_B02_7 has 637 (32.2%) missing values Missing
w1_B02_8 has 1980 (100.0%) missing values Missing
w1_B02_9 has 639 (32.3%) missing values Missing
w1_B02_10 has 641 (32.4%) missing values Missing
w1_B02_11 has 637 (32.2%) missing values Missing
w1_B02_12 has 636 (32.1%) missing values Missing
w1_B02_13 has 639 (32.3%) missing values Missing
w1_B02_14 has 635 (32.1%) missing values Missing
w1_B02_15 has 637 (32.2%) missing values Missing
w1_B02_16 has 637 (32.2%) missing values Missing
w1_B02_17 has 636 (32.1%) missing values Missing
w1_B02_18 has 635 (32.1%) missing values Missing
w1_B02JLU_1 has 1980 (100.0%) missing values Missing
w1_B02JLU_2 has 1980 (100.0%) missing values Missing
w1_B02JLU_3 has 1980 (100.0%) missing values Missing
w1_B02JLU_4 has 1980 (100.0%) missing values Missing
w1_B02JLU_5 has 1980 (100.0%) missing values Missing
w1_B02JLU_6 has 1980 (100.0%) missing values Missing
w1_B02JLU_7 has 1980 (100.0%) missing values Missing
w1_B02JLU_8 has 1980 (100.0%) missing values Missing
w1_B02JLU_9 has 1980 (100.0%) missing values Missing
w1_B02JLU_10 has 1980 (100.0%) missing values Missing
w1_B02JLU_11 has 1980 (100.0%) missing values Missing
w1_B02JLU_12 has 1980 (100.0%) missing values Missing
w1_B02JLU_13 has 1980 (100.0%) missing values Missing
w1_B02JLU_14 has 1980 (100.0%) missing values Missing
w1_B02JLU_15 has 1980 (100.0%) missing values Missing
w1_B02JLU_16 has 1980 (100.0%) missing values Missing
w1_B02JLU_17 has 1980 (100.0%) missing values Missing
w1_B02JLU_18 has 1980 (100.0%) missing values Missing
w1_C01_1 has 1119 (56.5%) missing values Missing
w1_C01_2 has 1185 (59.8%) missing values Missing
w1_C01_3 has 1046 (52.8%) missing values Missing
w1_C01_4 has 1119 (56.5%) missing values Missing
w1_C02_1 has 689 (34.8%) missing values Missing
w1_C02_2 has 687 (34.7%) missing values Missing
w1_C02_3 has 695 (35.1%) missing values Missing
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w1_C02_7 has 694 (35.1%) missing values Missing
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w1_C02_10 has 688 (34.7%) missing values Missing
w1_C02_11 has 693 (35.0%) missing values Missing
w1_C02_12 has 1980 (100.0%) missing values Missing
w1_D01 has 744 (37.6%) missing values Missing
w1_D02 has 673 (34.0%) missing values Missing
w1_D03 has 1522 (76.9%) missing values Missing
w1_D04 has 1528 (77.2%) missing values Missing
w1_D05 has 1523 (76.9%) missing values Missing
w1_E01_1 has 727 (36.7%) missing values Missing
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w1_E01_3 has 725 (36.6%) missing values Missing
w1_E01_4 has 728 (36.8%) missing values Missing
w1_E01_5 has 725 (36.6%) missing values Missing
w1_E01_6 has 726 (36.7%) missing values Missing
w1_E01_7 has 728 (36.8%) missing values Missing
w1_E01_8 has 731 (36.9%) missing values Missing
w1_E01_9 has 730 (36.9%) missing values Missing
w1_E01_10 has 728 (36.8%) missing values Missing
w1_E01_11 has 725 (36.6%) missing values Missing
w1_E01_12 has 732 (37.0%) missing values Missing
w1_E01_13 has 729 (36.8%) missing values Missing
w1_E01_14 has 724 (36.6%) missing values Missing
w1_E01_15 has 730 (36.9%) missing values Missing
w1_E01_16 has 726 (36.7%) missing values Missing
w1_E01_17 has 729 (36.8%) missing values Missing
w1_E01_18 has 727 (36.7%) missing values Missing
w1_E01_19 has 727 (36.7%) missing values Missing
w1_E01JLU_1 has 1980 (100.0%) missing values Missing
w1_E01JLU_2 has 1980 (100.0%) missing values Missing
w1_E01JLU_3 has 1980 (100.0%) missing values Missing
w1_E01JLU_4 has 1980 (100.0%) missing values Missing
w1_E01JLU_5 has 1980 (100.0%) missing values Missing
w1_E01JLU_6 has 1980 (100.0%) missing values Missing
w1_E01JLU_7 has 1980 (100.0%) missing values Missing
w1_E01JLU_8 has 1980 (100.0%) missing values Missing
w1_E01JLU_9 has 1980 (100.0%) missing values Missing
w1_E01JLU_10 has 1980 (100.0%) missing values Missing
w1_E01JLU_11 has 1980 (100.0%) missing values Missing
w1_E01JLU_12 has 1980 (100.0%) missing values Missing
w1_E01JLU_13 has 1980 (100.0%) missing values Missing
w1_E01JLU_14 has 1980 (100.0%) missing values Missing
w1_E01JLU_15 has 1980 (100.0%) missing values Missing
w1_E01JLU_16 has 1980 (100.0%) missing values Missing
w1_E01JLU_17 has 1980 (100.0%) missing values Missing
w1_E01JLU_18 has 1980 (100.0%) missing values Missing
w1_E01JLU_19 has 1980 (100.0%) missing values Missing
w1_E01JLU_20 has 1980 (100.0%) missing values Missing
w1_E01JLU_21 has 1980 (100.0%) missing values Missing
w1_E01JLU_22 has 1980 (100.0%) missing values Missing
w1_E01JLU_23 has 1980 (100.0%) missing values Missing
w1_E01JLU_24 has 1980 (100.0%) missing values Missing
w1_E02_1 has 729 (36.8%) missing values Missing
w1_E02_2 has 732 (37.0%) missing values Missing
w1_E02_3 has 729 (36.8%) missing values Missing
w1_E02_4 has 736 (37.2%) missing values Missing
w1_E02_5 has 733 (37.0%) missing values Missing
w1_E02_6 has 731 (36.9%) missing values Missing
w1_E02_7 has 733 (37.0%) missing values Missing
w1_E02_8 has 735 (37.1%) missing values Missing
w1_E02_9 has 734 (37.1%) missing values Missing
w1_E02_10 has 735 (37.1%) missing values Missing
w1_E02_11 has 739 (37.3%) missing values Missing
w1_E02_12 has 735 (37.1%) missing values Missing
w1_E02_13 has 735 (37.1%) missing values Missing
w1_E02_14 has 736 (37.2%) missing values Missing
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w1_E02_17 has 740 (37.4%) missing values Missing
w1_E02_18 has 734 (37.1%) missing values Missing
w1_E02_19 has 733 (37.0%) missing values Missing
w1_E02_20 has 734 (37.1%) missing values Missing
w1_E02_21 has 735 (37.1%) missing values Missing
w1_E03 has 706 (35.7%) missing values Missing
w1_E04 has 1299 (65.6%) missing values Missing
w1_E05 has 1313 (66.3%) missing values Missing
w1_E06 has 1968 (99.4%) missing values Missing
w1_E07 has 1968 (99.4%) missing values Missing
w1_E08 has 1968 (99.4%) missing values Missing
w1_E09_1 has 1970 (99.5%) missing values Missing
w1_E09_2 has 1970 (99.5%) missing values Missing
w1_E09_3 has 1970 (99.5%) missing values Missing
w1_E09_4 has 1970 (99.5%) missing values Missing
w1_E09_5 has 1970 (99.5%) missing values Missing
w1_E09_6 has 1970 (99.5%) missing values Missing
w1_E09_7 has 1970 (99.5%) missing values Missing
w1_F01 has 710 (35.9%) missing values Missing
w1_F02 has 1388 (70.1%) missing values Missing
w1_F03_other has 1914 (96.7%) missing values Missing
w1_F04_other has 1961 (99.0%) missing values Missing
w1_G01_1 has 766 (38.7%) missing values Missing
w1_G01_2 has 768 (38.8%) missing values Missing
w1_G01_3 has 770 (38.9%) missing values Missing
w1_G01_4 has 767 (38.7%) missing values Missing
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w1_G01_6 has 767 (38.7%) missing values Missing
w1_G01_7 has 772 (39.0%) missing values Missing
w1_G01_8 has 767 (38.7%) missing values Missing
w1_G01_9 has 773 (39.0%) missing values Missing
w1_G02_1 has 775 (39.1%) missing values Missing
w1_G02_2 has 777 (39.2%) missing values Missing
w1_G02_3 has 773 (39.0%) missing values Missing
w1_G02_4 has 775 (39.1%) missing values Missing
w1_G02_5 has 778 (39.3%) missing values Missing
w1_G02_6 has 776 (39.2%) missing values Missing
w1_G02_7 has 782 (39.5%) missing values Missing
w1_G02_8 has 781 (39.4%) missing values Missing
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w1_G02_10 has 787 (39.7%) missing values Missing
w1_G02_11 has 780 (39.4%) missing values Missing
w1_G02_12 has 786 (39.7%) missing values Missing
w1_G02_13 has 783 (39.5%) missing values Missing
w1_G02_14 has 782 (39.5%) missing values Missing
w1_G02_15 has 798 (40.3%) missing values Missing
w1_G02_16 has 788 (39.8%) missing values Missing
w1_G03_1 has 827 (41.8%) missing values Missing
w1_G03_2 has 828 (41.8%) missing values Missing
w1_G03_3 has 840 (42.4%) missing values Missing
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w1_G03_6 has 836 (42.2%) missing values Missing
w1_G03_7 has 837 (42.3%) missing values Missing
w1_G03_8 has 833 (42.1%) missing values Missing
w1_G03_9 has 837 (42.3%) missing values Missing
w1_G03_10 has 837 (42.3%) missing values Missing
w1_G04_1 has 827 (41.8%) missing values Missing
w1_G04_2 has 831 (42.0%) missing values Missing
w1_G04_3 has 829 (41.9%) missing values Missing
w1_G04_4 has 834 (42.1%) missing values Missing
w1_G04_5 has 829 (41.9%) missing values Missing
w1_G04_6 has 828 (41.8%) missing values Missing
w1_G04_7 has 834 (42.1%) missing values Missing
w1_G04_8 has 827 (41.8%) missing values Missing
w1_G04_9 has 831 (42.0%) missing values Missing
w1_G04_10 has 828 (41.8%) missing values Missing
w1_G05_1 has 845 (42.7%) missing values Missing
w1_G05_2 has 852 (43.0%) missing values Missing
w1_G06 has 861 (43.5%) missing values Missing
w1_G07_1 has 819 (41.4%) missing values Missing
w1_G07_2 has 819 (41.4%) missing values Missing
w1_G09 has 1000 (50.5%) missing values Missing
w1_G10_1 has 872 (44.0%) missing values Missing
w1_G10_2 has 870 (43.9%) missing values Missing
w1_G10_3 has 871 (44.0%) missing values Missing
w1_G10_4 has 867 (43.8%) missing values Missing
w1_G11_1 has 861 (43.5%) missing values Missing
w1_G11_2 has 865 (43.7%) missing values Missing
w1_H01f has 1980 (100.0%) missing values Missing
w1_H01f_other has 1980 (100.0%) missing values Missing
w1_H01m has 1980 (100.0%) missing values Missing
w1_H01m_other has 1980 (100.0%) missing values Missing
w1_H01fLSE has 859 (43.4%) missing values Missing
w1_H01mLSE has 859 (43.4%) missing values Missing
w1_H02f has 827 (41.8%) missing values Missing
w1_H03af has 1310 (66.2%) missing values Missing
w1_H03af_other has 1965 (99.2%) missing values Missing
w1_H03bf has 1664 (84.0%) missing values Missing
w1_H03bf_other has 1954 (98.7%) missing values Missing
w1_H02m has 827 (41.8%) missing values Missing
w1_H03am has 1360 (68.7%) missing values Missing
w1_H03am_other has 1957 (98.8%) missing values Missing
w1_H03bm has 1821 (92.0%) missing values Missing
w1_H03bm_other has 1959 (98.9%) missing values Missing
w1_I00 has 846 (42.7%) missing values Missing
w1_I01 has 1421 (71.8%) missing values Missing
w1_I03 has 1772 (89.5%) missing values Missing
w1_I04 has 1767 (89.2%) missing values Missing
w1_BFI15_1 has 1980 (100.0%) missing values Missing
w1_BFI15_2 has 1980 (100.0%) missing values Missing
w1_BFI15_3 has 1980 (100.0%) missing values Missing
w1_BFI15_4 has 1980 (100.0%) missing values Missing
w1_BFI15_5 has 1980 (100.0%) missing values Missing
w1_BFI15_6 has 1980 (100.0%) missing values Missing
w1_BFI15_7 has 1980 (100.0%) missing values Missing
w1_BFI15_8 has 1980 (100.0%) missing values Missing
w1_BFI15_9 has 1980 (100.0%) missing values Missing
w1_BFI15_10 has 1980 (100.0%) missing values Missing
w1_BFI15_11 has 1980 (100.0%) missing values Missing
w1_BFI15_12 has 1980 (100.0%) missing values Missing
w1_BFI15_13 has 1980 (100.0%) missing values Missing
w1_BFI15_14 has 1980 (100.0%) missing values Missing
w1_BFI15_15 has 1980 (100.0%) missing values Missing
w1_GT_BF15 has 1980 (100.0%) missing values Missing
w1_N01 has 1980 (100.0%) missing values Missing
w1_N01_other has 1980 (100.0%) missing values Missing
w1_N02 has 1980 (100.0%) missing values Missing
w1_N03 has 1980 (100.0%) missing values Missing
w1_N04 has 1980 (100.0%) missing values Missing
w1_N05_1 has 1980 (100.0%) missing values Missing
w1_N05_2 has 1980 (100.0%) missing values Missing
w1_N05_3 has 1980 (100.0%) missing values Missing
w1_N05_4 has 1980 (100.0%) missing values Missing
w1_N05_5 has 1980 (100.0%) missing values Missing
w1_N05_6 has 1980 (100.0%) missing values Missing
w1_N05_7 has 1980 (100.0%) missing values Missing
w1_N05_8 has 1980 (100.0%) missing values Missing
w1_N06 has 1980 (100.0%) missing values Missing
w1_N06_other has 1980 (100.0%) missing values Missing
w1_GT_A0 has 183 (9.2%) missing values Missing
w1_GT_A1 has 360 (18.2%) missing values Missing
w1_GT_B has 612 (30.9%) missing values Missing
w1_GT_C has 643 (32.5%) missing values Missing
w1_GT_D has 671 (33.9%) missing values Missing
w1_GT_E has 701 (35.4%) missing values Missing
w1_GT_F has 710 (35.9%) missing values Missing
w1_GT_G1 has 730 (36.9%) missing values Missing
w1_GT_G2 has 770 (38.9%) missing values Missing
w1_GT_G3 has 801 (40.5%) missing values Missing
w1_GT_H1 has 822 (41.5%) missing values Missing
w1_GT_H2 has 827 (41.8%) missing values Missing
w1_GT_I1 has 846 (42.7%) missing values Missing
w1_GT_I2 has 1053 (53.2%) missing values Missing
w1_GT_N has 1980 (100.0%) missing values Missing
w1_GT_A0 is highly skewed (γ1 = 25.72333153) Skewed
w1_GT_C is highly skewed (γ1 = 21.9741793) Skewed
w1_GT_D is highly skewed (γ1 = 34.04842445) Skewed
w1_GT_E is highly skewed (γ1 = 21.49860788) Skewed
w1_GT_G1 is highly skewed (γ1 = 24.68144612) Skewed
w1_GT_G2 is highly skewed (γ1 = 20.51399097) Skewed
w1_GT_H1 is highly skewed (γ1 = 25.90362623) Skewed
w1_GT_I1 is highly skewed (γ1 = 20.97554785) Skewed
token has unique values Unique
w1_A00_2 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A03JLU is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A04AMRITA is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A04AMRITA_other is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A04AAU is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A04JLU is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A04NUM is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A04UC is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A04UNITN is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A04IPICYT is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A05UNITN is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A05AMRITA is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A09UNITN is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A09UC is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A10UNITN is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A10AAU is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A10NUM is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A10UC is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A10IPICYT is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A11NUM is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02_8 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_1 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_2 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_3 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_4 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_5 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_6 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_7 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_8 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_9 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_10 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_11 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_12 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_13 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_14 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_15 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_16 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_17 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_18 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_C02_12 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_1 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_2 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_3 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_4 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_5 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_6 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_7 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_8 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_9 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_10 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_11 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_12 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_13 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_14 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_15 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_16 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_17 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_18 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_19 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_20 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_21 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_22 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_23 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_24 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_H01f is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_H01f_other is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_H01m is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_H01m_other is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_BFI15_1 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_BFI15_2 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_BFI15_3 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_BFI15_4 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_BFI15_5 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_BFI15_6 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_BFI15_7 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_BFI15_8 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_BFI15_9 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_BFI15_10 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_BFI15_11 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_BFI15_12 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_BFI15_13 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_BFI15_14 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_BFI15_15 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_GT_BF15 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_N01 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_N01_other is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_N02 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_N03 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_N04 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_N05_1 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_N05_2 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_N05_3 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_N05_4 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_N05_5 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_N05_6 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_N05_7 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_N05_8 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_N06 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_N06_other is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_GT_N is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_C01_1 has 220 (11.1%) zeros Zeros
w1_C01_2 has 237 (12.0%) zeros Zeros
w1_C01_3 has 210 (10.6%) zeros Zeros
w1_C01_4 has 239 (12.1%) zeros Zeros
w1_D01 has 50 (2.5%) zeros Zeros
w1_interviewtime has 183 (9.2%) zeros Zeros

Reproduction

Analysis started2025-02-26 16:43:25.613353
Analysis finished2025-02-26 16:43:26.403449
Duration0.79 seconds
Software versionydata-profiling v0.0.dev0
Download configurationconfig.json

Variables

token
Text

Unique 

token

Distinct1980
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size44.6 KiB
2025-02-26T17:43:26.551159image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length15
Median length15
Mean length15
Min length15

Characters and Unicode

Total characters29700
Distinct characters62
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1980 ?
Unique (%)100.0%

Sample

1st row04PQJhl9YxcEJ75
2nd row04x1POqaTtEwNEZ
3rd row06CauGshOndKmGm
4th row09NnrOHzjbCplVx
5th row0Aodz0zJK70YATX
ValueCountFrequency (%)
04pqjhl9yxcej75 1
 
0.1%
04x1poqattewnez 1
 
0.1%
06caugshondkmgm 1
 
0.1%
09nnrohzjbcplvx 1
 
0.1%
0aodz0zjk70yatx 1
 
0.1%
0bgftzkeujoe4fs 1
 
0.1%
0deekhopx24uab9 1
 
0.1%
0hjcmizlenqbt1r 1
 
0.1%
0iy3huydype82kg 1
 
0.1%
0iogmzlgzofdxqk 1
 
0.1%
Other values (1970) 1970
99.5%
2025-02-26T17:43:26.760000image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 958
 
3.2%
z 903
 
3.0%
3 508
 
1.7%
j 505
 
1.7%
B 503
 
1.7%
2 502
 
1.7%
Z 501
 
1.7%
R 500
 
1.7%
h 494
 
1.7%
E 490
 
1.6%
Other values (52) 23836
80.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29700
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 958
 
3.2%
z 903
 
3.0%
3 508
 
1.7%
j 505
 
1.7%
B 503
 
1.7%
2 502
 
1.7%
Z 501
 
1.7%
R 500
 
1.7%
h 494
 
1.7%
E 490
 
1.6%
Other values (52) 23836
80.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29700
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 958
 
3.2%
z 903
 
3.0%
3 508
 
1.7%
j 505
 
1.7%
B 503
 
1.7%
2 502
 
1.7%
Z 501
 
1.7%
R 500
 
1.7%
h 494
 
1.7%
E 490
 
1.6%
Other values (52) 23836
80.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29700
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 958
 
3.2%
z 903
 
3.0%
3 508
 
1.7%
j 505
 
1.7%
B 503
 
1.7%
2 502
 
1.7%
Z 501
 
1.7%
R 500
 
1.7%
h 494
 
1.7%
E 490
 
1.6%
Other values (52) 23836
80.3%

w1_experimentid
Text

Constant 

experiment id

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size29.1 KiB
2025-02-26T17:43:26.820186image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters13860
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowwenetUK
2nd rowwenetUK
3rd rowwenetUK
4th rowwenetUK
5th rowwenetUK
ValueCountFrequency (%)
wenetuk 1980
100.0%
2025-02-26T17:43:26.910076image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 3960
28.6%
w 1980
14.3%
n 1980
14.3%
t 1980
14.3%
U 1980
14.3%
K 1980
14.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 13860
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 3960
28.6%
w 1980
14.3%
n 1980
14.3%
t 1980
14.3%
U 1980
14.3%
K 1980
14.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 13860
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 3960
28.6%
w 1980
14.3%
n 1980
14.3%
t 1980
14.3%
U 1980
14.3%
K 1980
14.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 13860
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 3960
28.6%
w 1980
14.3%
n 1980
14.3%
t 1980
14.3%
U 1980
14.3%
K 1980
14.3%

w1_fillinquest
Real number (ℝ)

fillinquest

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.781313131
Minimum-1
Maximum5
Zeros0
Zeros (%)0.0%
Negative183
Negative (%)9.2%
Memory size17.5 KiB
2025-02-26T17:43:26.947367image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q13
median5
Q35
95-th percentile5
Maximum5
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.774604495
Coefficient of variation (CV)0.4693090558
Kurtosis2.021161724
Mean3.781313131
Median Absolute Deviation (MAD)0
Skewness-1.654810203
Sum7487
Variance3.149221115
MonotonicityNot monotonic
2025-02-26T17:43:26.983491image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
5 1117
56.4%
3 635
32.1%
-1 183
 
9.2%
4 45
 
2.3%
ValueCountFrequency (%)
-1 183
 
9.2%
3 635
32.1%
4 45
 
2.3%
5 1117
56.4%
ValueCountFrequency (%)
5 1117
56.4%
4 45
 
2.3%
3 635
32.1%
-1 183
 
9.2%

w1_lastpage
Real number (ℝ)

Missing 

last page

Distinct14
Distinct (%)0.8%
Missing183
Missing (%)9.2%
Infinite0
Infinite (%)0.0%
Mean11.08013356
Minimum1
Maximum15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:27.019962image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median15
Q315
95-th percentile15
Maximum15
Range14
Interquartile range (IQR)11

Descriptive statistics

Standard deviation5.496428318
Coefficient of variation (CV)0.4960615583
Kurtosis-1.102733559
Mean11.08013356
Median Absolute Deviation (MAD)0
Skewness-0.842773465
Sum19911
Variance30.21072426
MonotonicityNot monotonic
2025-02-26T17:43:27.058896image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
15 1117
56.4%
3 254
 
12.8%
1 152
 
7.7%
9 61
 
3.1%
4 61
 
3.1%
6 32
 
1.6%
8 28
 
1.4%
10 27
 
1.4%
13 26
 
1.3%
14 19
 
1.0%
Other values (4) 20
 
1.0%
(Missing) 183
 
9.2%
ValueCountFrequency (%)
1 152
7.7%
3 254
12.8%
4 61
 
3.1%
5 8
 
0.4%
6 32
 
1.6%
ValueCountFrequency (%)
15 1117
56.4%
14 19
 
1.0%
13 26
 
1.3%
12 3
 
0.2%
11 5
 
0.3%

w1_submitdate
Date

Missing 

date of submission

Distinct1114
Distinct (%)99.7%
Missing863
Missing (%)43.6%
Memory size15.6 KiB
Minimum2020-10-28 10:40:39
Maximum2020-11-11 09:17:11
2025-02-26T17:43:27.105348image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-02-26T17:43:27.158988image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

w1_startlanguage
Text

start language

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size19.7 KiB
2025-02-26T17:43:27.197360image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length7
Median length2
Mean length2.123737374
Min length2

Characters and Unicode

Total characters4205
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowen
2nd rowen
3rd rowen
4th rowen
5th rowen
ValueCountFrequency (%)
en 1925
97.2%
zh-hans 49
 
2.5%
es 4
 
0.2%
it 2
 
0.1%
2025-02-26T17:43:27.274180image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
n 1974
46.9%
e 1929
45.9%
s 53
 
1.3%
z 49
 
1.2%
h 49
 
1.2%
- 49
 
1.2%
H 49
 
1.2%
a 49
 
1.2%
i 2
 
< 0.1%
t 2
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 4205
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
n 1974
46.9%
e 1929
45.9%
s 53
 
1.3%
z 49
 
1.2%
h 49
 
1.2%
- 49
 
1.2%
H 49
 
1.2%
a 49
 
1.2%
i 2
 
< 0.1%
t 2
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 4205
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
n 1974
46.9%
e 1929
45.9%
s 53
 
1.3%
z 49
 
1.2%
h 49
 
1.2%
- 49
 
1.2%
H 49
 
1.2%
a 49
 
1.2%
i 2
 
< 0.1%
t 2
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 4205
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
n 1974
46.9%
e 1929
45.9%
s 53
 
1.3%
z 49
 
1.2%
h 49
 
1.2%
- 49
 
1.2%
H 49
 
1.2%
a 49
 
1.2%
i 2
 
< 0.1%
t 2
 
< 0.1%

w1_startdate
Date

Start date

Distinct1970
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size15.6 KiB
Minimum2020-10-15 17:34:47
Maximum2020-11-11 16:21:44
2025-02-26T17:43:27.323548image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-02-26T17:43:27.375652image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

w1_datestamp
Date

datestamp

Distinct1967
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size15.6 KiB
Minimum2020-10-15 17:34:47
Maximum2020-11-11 16:22:07
2025-02-26T17:43:27.426580image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-02-26T17:43:27.478785image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

w1_refurl
Text

Missing 

reference url

Distinct3
Distinct (%)4.3%
Missing1910
Missing (%)96.5%
Memory size16.5 KiB
2025-02-26T17:43:27.544995image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length13
Median length10
Mean length10.12857143
Min length4

Characters and Unicode

Total characters709
Distinct characters15
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)1.4%

Sample

1st rowlimesurvey
2nd rowlimesurvey
3rd rowlimesurvey
4th rowlimesurvey
5th rowlimesurvey
ValueCountFrequency (%)
limesurvey 64
91.4%
android-gmail 5
 
7.1%
mail 1
 
1.4%
2025-02-26T17:43:27.648706image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 128
18.1%
i 75
10.6%
l 70
9.9%
m 70
9.9%
r 69
9.7%
s 64
9.0%
u 64
9.0%
v 64
9.0%
y 64
9.0%
a 11
 
1.6%
Other values (5) 30
 
4.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 709
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 128
18.1%
i 75
10.6%
l 70
9.9%
m 70
9.9%
r 69
9.7%
s 64
9.0%
u 64
9.0%
v 64
9.0%
y 64
9.0%
a 11
 
1.6%
Other values (5) 30
 
4.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 709
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 128
18.1%
i 75
10.6%
l 70
9.9%
m 70
9.9%
r 69
9.7%
s 64
9.0%
u 64
9.0%
v 64
9.0%
y 64
9.0%
a 11
 
1.6%
Other values (5) 30
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 709
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 128
18.1%
i 75
10.6%
l 70
9.9%
m 70
9.9%
r 69
9.7%
s 64
9.0%
u 64
9.0%
v 64
9.0%
y 64
9.0%
a 11
 
1.6%
Other values (5) 30
 
4.2%

w1_A00_1
Real number (ℝ)

Missing 

Having read the informative and the privacy policy in the email (also linked below) ...do you agree to participate in the WENET-Internet of us survey and tell us about your experience as a student at the University of […]?

Distinct2
Distinct (%)0.1%
Missing183
Missing (%)9.2%
Infinite0
Infinite (%)0.0%
Mean1.017807457
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:27.688949image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1322879052
Coefficient of variation (CV)0.1299734093
Kurtosis51.32040081
Mean1.017807457
Median Absolute Deviation (MAD)0
Skewness7.298169918
Sum1829
Variance0.01750008986
MonotonicityNot monotonic
2025-02-26T17:43:27.728766image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 1765
89.1%
2 32
 
1.6%
(Missing) 183
 
9.2%
ValueCountFrequency (%)
1 1765
89.1%
2 32
 
1.6%
ValueCountFrequency (%)
2 32
 
1.6%
1 1765
89.1%

w1_A00_2
Unsupported

Missing  Rejected  Unsupported 

Having read the informative and the privacy policy in the email (also linked below) ...do you authorize access to your university administrative data?

Missing1980
Missing (%)100.0%
Memory size17.5 KiB

w1_A01
Real number (ℝ)

Missing 

Which gender were you born? 1. Male, 2. Female?

Distinct3
Distinct (%)0.2%
Missing370
Missing (%)18.7%
Infinite0
Infinite (%)0.0%
Mean1.716149068
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:27.765458image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4591992681
Coefficient of variation (CV)0.2675753969
Kurtosis-0.9643277385
Mean1.716149068
Median Absolute Deviation (MAD)0
Skewness-0.8435789015
Sum2763
Variance0.2108639678
MonotonicityNot monotonic
2025-02-26T17:43:27.805233image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 1141
57.6%
1 463
23.4%
3 6
 
0.3%
(Missing) 370
 
18.7%
ValueCountFrequency (%)
1 463
23.4%
2 1141
57.6%
3 6
 
0.3%
ValueCountFrequency (%)
3 6
 
0.3%
2 1141
57.6%
1 463
23.4%

w1_A02
Real number (ℝ)

Missing 

When were you born? Year:

Distinct38
Distinct (%)2.4%
Missing373
Missing (%)18.8%
Infinite0
Infinite (%)0.0%
Mean1996.864343
Minimum1946
Maximum2003
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:27.849987image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1946
5-th percentile1988
Q11996
median1998
Q32000
95-th percentile2002
Maximum2003
Range57
Interquartile range (IQR)4

Descriptive statistics

Standard deviation5.3665415
Coefficient of variation (CV)0.002687484264
Kurtosis16.83128123
Mean1996.864343
Median Absolute Deviation (MAD)2
Skewness-3.136965707
Sum3208961
Variance28.79976767
MonotonicityNot monotonic
2025-02-26T17:43:27.895992image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
1998 268
13.5%
2001 189
9.5%
2002 162
8.2%
1997 160
8.1%
2000 153
7.7%
1999 151
7.6%
1996 121
 
6.1%
1995 79
 
4.0%
1994 60
 
3.0%
1993 40
 
2.0%
Other values (28) 224
11.3%
(Missing) 373
18.8%
ValueCountFrequency (%)
1946 1
0.1%
1952 1
0.1%
1959 1
0.1%
1960 1
0.1%
1961 2
0.1%
ValueCountFrequency (%)
2003 9
 
0.5%
2002 162
8.2%
2001 189
9.5%
2000 153
7.7%
1999 151
7.6%

w1_A03
Real number (ℝ)

Missing 

What is your nationality? [List, see Appendix]

Distinct109
Distinct (%)6.8%
Missing372
Missing (%)18.8%
Infinite0
Infinite (%)0.0%
Mean79.53420398
Minimum2
Maximum222
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:27.945196image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile11
Q131
median60
Q3104
95-th percentile195
Maximum222
Range220
Interquartile range (IQR)73

Descriptive statistics

Standard deviation55.81521272
Coefficient of variation (CV)0.7017762161
Kurtosis-0.1829415256
Mean79.53420398
Median Absolute Deviation (MAD)29
Skewness0.9074415438
Sum127891
Variance3115.337971
MonotonicityNot monotonic
2025-02-26T17:43:27.995467image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
46 305
15.4%
31 288
14.5%
98 85
 
4.3%
4 69
 
3.5%
76 67
 
3.4%
104 66
 
3.3%
80 51
 
2.6%
127 44
 
2.2%
65 40
 
2.0%
181 33
 
1.7%
Other values (99) 560
28.3%
(Missing) 372
18.8%
ValueCountFrequency (%)
2 2
 
0.1%
4 69
3.5%
8 4
 
0.2%
11 11
 
0.6%
12 6
 
0.3%
ValueCountFrequency (%)
222 2
 
0.1%
219 8
0.4%
217 5
0.3%
216 4
0.2%
213 3
 
0.2%

w1_A03JLU
Unsupported

Missing  Rejected  Unsupported 

What is your nationality? [List, see Appendix]

Missing1980
Missing (%)100.0%
Memory size17.5 KiB

w1_A04AMRITA
Unsupported

Missing  Rejected  Unsupported 

Question: In what faculty/department are you studying? | Answer:

Missing1980
Missing (%)100.0%
Memory size17.5 KiB

w1_A04AMRITA_other
Unsupported

Missing  Rejected  Unsupported 

Question: In what faculty/department are you studying? | Answer:

Missing1980
Missing (%)100.0%
Memory size17.5 KiB

w1_A04AAU
Unsupported

Missing  Rejected  Unsupported 

Question: In what faculty/department are you studying? | Answer: A04AAU. [List, see Appendix]:1. Electronic Systems 2. Architecture, Design and Media Technology 3. Chemistry and Bioscience 4. Communication and Psychology 5. Culture and Learning 6. Planning 7. Mathematical Sciences 8. Materials and Production 9. Business and Management 10. Sociology and Social Work 11. Political Science 12. Clinical Medicine 13. Built Environment

Missing1980
Missing (%)100.0%
Memory size17.5 KiB

w1_A04JLU
Unsupported

Missing  Rejected  Unsupported 

Question: In what faculty/department are you studying? | Answer: A04JLU. [List, see Appendix]1. School of Philosophy and Society 2. Art college 3. Archaeological Institute 4. Foreign Language School 5. Art Academy 6. Sports Academy 7. School of Mathematics 8. School of Physics 9. School of Chemistry 10. College of Life Sciences 11. School of Electronic Science and Engineering 12. School of Communication Engineering 13. School of Computer Science and Technology 14. Software College 15. School of Economics 16. Law school 17. School of Administration 18. Business school 19. Institute of Finance 20. School of Mechanical Engineering 21. School of Automotive Engineering 22. material science and Engineering School 23. Jiaotong University 24. College of Biological and Agricultural Engineering 25. School of Management 26. School of Food Science and Engineering 27. School of Earth Sciences 28. School of Earth Exploration Science and Technology 29. School of Construction Engineering 30. School of New Energy and Environment 31. School of Instrument Science and Electrical Engineering 32. Basic Medical School 33. School of Public Health 34. College of Pharmacy 35. School of Nursing 36. School of Clinical Medicine 37. Bethune First Hospital 38. Bethune Second Hospital 39. Bethune Third Hospital 40. Bethune Dental Hospital 41. School of Animal Medicine 42. Faculty of Plant Science 43. College of Animal Science 44. Artificial Intelligence Academy

Missing1980
Missing (%)100.0%
Memory size17.5 KiB

w1_A04LSE
Real number (ℝ)

Missing 

Question: In what faculty/department are you studying? | Answer: A04LSE. [List, see Appendix]1. Department of Accounting 2. Department of Anthropology 3. Department of Economics 4. Department of Economic History 5. European Institute 6. Department of Finance 7. Department of Gender Studies 8. Department of Geography and Environment 9. Institute of Global Affairs (IGA) 10. Department of Government 11. Department of Health Policy 12. Department of International Development 13. Department of International History 14. International Inequalities Institute 15. Department of International Relations 16. Language Centre 17. Department of Law 18. Department of Management 19. Marshall Institute 20. Department of Mathematics 21. Department of Media and Communications 22. Department of Methodology 23. Department of Philosophy, Logic and Scientific Method 24. Department of Psychological and Behavioural Science 25. School of Public Policy (formerly Institute of Public Affairs) 26. Department of Social Policy 27. Department of Sociology 28. Department of Statistics

Distinct25
Distinct (%)1.5%
Missing364
Missing (%)18.4%
Infinite0
Infinite (%)0.0%
Mean14.54641089
Minimum1
Maximum28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:28.040158image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18
median15
Q322
95-th percentile27
Maximum28
Range27
Interquartile range (IQR)14

Descriptive statistics

Standard deviation8.429144457
Coefficient of variation (CV)0.5794655823
Kurtosis-1.25302174
Mean14.54641089
Median Absolute Deviation (MAD)7
Skewness-0.02539795091
Sum23507
Variance71.05047627
MonotonicityNot monotonic
2025-02-26T17:43:28.084731image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
18 128
 
6.5%
10 127
 
6.4%
3 113
 
5.7%
26 105
 
5.3%
17 99
 
5.0%
8 90
 
4.5%
15 78
 
3.9%
27 73
 
3.7%
1 73
 
3.7%
21 69
 
3.5%
Other values (15) 661
33.4%
(Missing) 364
18.4%
ValueCountFrequency (%)
1 73
3.7%
2 63
3.2%
3 113
5.7%
4 32
 
1.6%
5 42
 
2.1%
ValueCountFrequency (%)
28 57
2.9%
27 73
3.7%
26 105
5.3%
25 38
 
1.9%
24 64
3.2%

w1_A04NUM
Unsupported

Missing  Rejected  Unsupported 

Question: In what faculty/department are you studying? | Answer: A04NUM. [List, see Appendix]1. Business School 2. School of International Relations and Public Administration 3. School of Law 4. School of Engineering and Applied Sciences 5. School of Sciences – Division of Social Sciences 6. School of Sciences – Division of Natural Sciences 7. School of Sciences – Division of Humanities

Missing1980
Missing (%)100.0%
Memory size17.5 KiB

w1_A04UC
Unsupported

Missing  Rejected  Unsupported 

Question: In what faculty/department are you studying? | Answer: A04UC. [List, see Appendix]1. Facultad de Ciencias Contables, Administrativas y Económicas 2. Facultad de Ciencias y Tecnología 3. Facultad de Ciencias de la Salud 4. Facultad de Ciencias Jurídicas y Diplomáticas 5. Facultad de Filosofía y Ciencias Humanas

Missing1980
Missing (%)100.0%
Memory size17.5 KiB

w1_A04UNITN
Unsupported

Missing  Rejected  Unsupported 

Question: In what faculty/department are you studying? | Answer: A04UNITN. [List, see Appendix]1. CIBIO 2. Economics and Management 3. Faculty of Law 4. Physics 5. Civil, Environmental and Mechanical Engineering 6. Information Engineering and Computer Science 7. Industrial Engineering 8. Humanities 9. Mathematics 10. Psychology and Cognitive Science 11. Sociology and Social Research 12. Center Agriculture Food Environment 13. CIMeC - Centre for Mind/Brain Sciences 14. SSI - School of International Studies 15. Other structures

Missing1980
Missing (%)100.0%
Memory size17.5 KiB

w1_A04IPICYT
Unsupported

Missing  Rejected  Unsupported 

Question: In what faculty/department are you studying? | Answer: A04IPICYT. [List, see Appendix]

Missing1980
Missing (%)100.0%
Memory size17.5 KiB

w1_A05
Real number (ℝ)

Missing 

Type of degree: 1. BSc, 2. MSc, 3.PhD

Distinct3
Distinct (%)0.2%
Missing363
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean1.659863946
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:28.124279image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5849415908
Coefficient of variation (CV)0.3524033354
Kurtosis-0.6688188146
Mean1.659863946
Median Absolute Deviation (MAD)0
Skewness0.2409699364
Sum2684
Variance0.3421566646
MonotonicityNot monotonic
2025-02-26T17:43:28.166985image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 877
44.3%
1 645
32.6%
3 95
 
4.8%
(Missing) 363
18.3%
ValueCountFrequency (%)
1 645
32.6%
2 877
44.3%
3 95
 
4.8%
ValueCountFrequency (%)
3 95
 
4.8%
2 877
44.3%
1 645
32.6%

w1_A05UNITN
Unsupported

Missing  Rejected  Unsupported 

Type of degree: 1. BSc, 2. MSc, 3. 5 years

Missing1980
Missing (%)100.0%
Memory size17.5 KiB

w1_A05AMRITA
Unsupported

Missing  Rejected  Unsupported 

Type of degree: 1. BSc, 2. MSc, 3.M.B.B.S, 4.MBA, 5.M.Tech, 6.B.Tech, 7.Integrated degree, 8.MHA, 9.B.Pharm, 10.M.D, 11.B.A.M.S, 12.BCA, 13.M.Pharm, 14.MCA, 15.M.S, 16.Mch

Missing1980
Missing (%)100.0%
Memory size17.5 KiB

w1_A06
Real number (ℝ)

Missing 

Programme: 1. Full Time, 2. Part Time

Distinct2
Distinct (%)0.1%
Missing458
Missing (%)23.1%
Infinite0
Infinite (%)0.0%
Mean1.036136662
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:28.209386image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.186691467
Coefficient of variation (CV)0.1801803506
Kurtosis22.78895467
Mean1.036136662
Median Absolute Deviation (MAD)0
Skewness4.975842673
Sum1577
Variance0.03485370386
MonotonicityNot monotonic
2025-02-26T17:43:28.248912image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 1467
74.1%
2 55
 
2.8%
(Missing) 458
 
23.1%
ValueCountFrequency (%)
1 1467
74.1%
2 55
 
2.8%
ValueCountFrequency (%)
2 55
 
2.8%
1 1467
74.1%

w1_A07
Real number (ℝ)

Missing 

[Not for LSE if A05=2 AND A06=1] Course year

Distinct6
Distinct (%)0.9%
Missing1296
Missing (%)65.5%
Infinite0
Infinite (%)0.0%
Mean7.789473684
Minimum1
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:28.285911image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile3
Maximum2023
Range2022
Interquartile range (IQR)2

Descriptive statistics

Standard deviation109.1317503
Coefficient of variation (CV)14.01015713
Kurtosis339.4465908
Mean7.789473684
Median Absolute Deviation (MAD)1
Skewness18.45081404
Sum5328
Variance11909.73892
MonotonicityNot monotonic
2025-02-26T17:43:28.390228image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 292
 
14.7%
3 205
 
10.4%
2 181
 
9.1%
4 4
 
0.2%
2023 1
 
0.1%
2020 1
 
0.1%
(Missing) 1296
65.5%
ValueCountFrequency (%)
1 292
14.7%
2 181
9.1%
3 205
10.4%
4 4
 
0.2%
2020 1
 
0.1%
ValueCountFrequency (%)
2023 1
 
0.1%
2020 1
 
0.1%
4 4
 
0.2%
3 205
10.4%
2 181
9.1%

w1_A08
Real number (ℝ)

Missing 

You are: 1. Regularly enrolled for a BAs/MAs degree, 2. Register on supplementary year

Distinct2
Distinct (%)0.1%
Missing553
Missing (%)27.9%
Infinite0
Infinite (%)0.0%
Mean1.032235459
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:28.431663image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1766867595
Coefficient of variation (CV)0.1711690468
Kurtosis26.15078871
Mean1.032235459
Median Absolute Deviation (MAD)0
Skewness5.302276796
Sum1473
Variance0.031218211
MonotonicityNot monotonic
2025-02-26T17:43:28.470268image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 1381
69.7%
2 46
 
2.3%
(Missing) 553
27.9%
ValueCountFrequency (%)
1 1381
69.7%
2 46
 
2.3%
ValueCountFrequency (%)
2 46
 
2.3%
1 1381
69.7%

w1_A09
Real number (ℝ)

Missing 

[Not for LSE, NUM, UC and UNITN] Where do you live during term time?: 1. In the town where the university is located. 2. Close to the city where the university is located (less than 1.30 hours of travel). [go to A11] 3. In another city away from where the university is located (more than 1.30 hours of travel) [go to A11] 4. Abroad (e.g., Erasmus student) [go to B01]

Distinct4
Distinct (%)0.2%
Missing364
Missing (%)18.4%
Infinite0
Infinite (%)0.0%
Mean1.577970297
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:28.506352image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.041603831
Coefficient of variation (CV)0.6600908983
Kurtosis1.01049065
Mean1.577970297
Median Absolute Deviation (MAD)0
Skewness1.60733935
Sum2550
Variance1.08493854
MonotonicityNot monotonic
2025-02-26T17:43:28.543155image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 1149
58.0%
2 212
 
10.7%
4 212
 
10.7%
3 43
 
2.2%
(Missing) 364
 
18.4%
ValueCountFrequency (%)
1 1149
58.0%
2 212
 
10.7%
3 43
 
2.2%
4 212
 
10.7%
ValueCountFrequency (%)
4 212
 
10.7%
3 43
 
2.2%
2 212
 
10.7%
1 1149
58.0%

w1_A09UNITN
Unsupported

Missing  Rejected  Unsupported 

Where do you live during term time? [See Appendix] 1. Trento [go to A10UNITN] 2. Rovereto 3. Close to the city where the university is located (less than 1.30 hours of travel). 4. In another city away from where the university is located (more than 1.30 hours of travel) 5. Abroad (e.g. Erasmus student)

Missing1980
Missing (%)100.0%
Memory size17.5 KiB

w1_A09UC
Unsupported

Missing  Rejected  Unsupported 

Where do you live during term time? [See Appendix]1. Asunción [go to A10UC] 2. In the town where the university is located. 3. Close to the city where the university is located (less than 1.30 hours of travel). 4. In another city away from where the university is located (more than 1.30 hours of travel) 5. Abroad (e.g. Erasmus student)

Missing1980
Missing (%)100.0%
Memory size17.5 KiB

w1_A10UNITN
Unsupported

Missing  Rejected  Unsupported 

And exactly in which neighbourhood of the town do you live? And exactly in which district of the town do you live? [See Appendix]1. Center (from Cristo Re/San Martino to Fersina) 2. Piedicastello/Vela 3. Trento North (from Gardolo to loc.Solteri/Via Brennero/Via Maccani) 4. North of Gardolo (Lavis, Meano, Spini) 5. Argentario (Cognola/Martignano/Montevaccino/Villamontagna) 6. East hill (Mesiano/Povo/Oltrecastello/San Donà/Cognola/Villazzano) 7. Trento South (Bolghera/Clarina/San Bartolomeo/Madonna Bianca/Villazzano Tre) 8. Mattarello/Ravina/Romagnano 9. Bondone/Cadine/Sardagna/Sopramonte

Missing1980
Missing (%)100.0%
Memory size17.5 KiB

w1_A10AAU
Unsupported

Missing  Rejected  Unsupported 

And exactly in which neighbourhood of the town do you live? And exactly in which neighbourhood of the town do you live? [See Appendix]1. Vesterbro/Kongens Enghave 2. Nørrebro 3. Østerbro 4. Amager Øst 5. Amager Vest 6. Valby 7. Bispebjerg 8. Vanløse 9. Brønshøj-Husum

Missing1980
Missing (%)100.0%
Memory size17.5 KiB

w1_A10NUM
Unsupported

Missing  Rejected  Unsupported 

And exactly in which neighbourhood of the town do you live? Please, enter the zip code of where you live during term time [See Appendix]

Missing1980
Missing (%)100.0%
Memory size17.5 KiB

w1_A10LSE
Text

Missing 

And exactly in which neighbourhood of the town do you live? What is your first three digits of post code? [See Appendix]1. London Central (30 minutes from LSE) 2. Outer London (1hour from LSE) 3. Outside London

Distinct261
Distinct (%)24.2%
Missing902
Missing (%)45.6%
Memory size19.1 KiB
2025-02-26T17:43:28.689551image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.058441558
Min length2

Characters and Unicode

Total characters3297
Distinct characters51
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique174 ?
Unique (%)16.1%

Sample

1st rowE14
2nd rowWC1
3rd rowNW1
4th rowsw1v
5th rowE16
ValueCountFrequency (%)
se1 269
24.0%
wc1 153
 
13.6%
ec1 72
 
6.4%
wc2 46
 
4.1%
e16 41
 
3.7%
nw1 32
 
2.8%
sw1 26
 
2.3%
e1 26
 
2.3%
n1c 24
 
2.1%
w1t 20
 
1.8%
Other values (182) 414
36.9%
2025-02-26T17:43:28.896735image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 851
25.8%
E 463
14.0%
W 359
10.9%
S 305
 
9.3%
C 294
 
8.9%
N 153
 
4.6%
2 120
 
3.6%
6 92
 
2.8%
w 64
 
1.9%
e 63
 
1.9%
Other values (41) 533
16.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 3297
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1 851
25.8%
E 463
14.0%
W 359
10.9%
S 305
 
9.3%
C 294
 
8.9%
N 153
 
4.6%
2 120
 
3.6%
6 92
 
2.8%
w 64
 
1.9%
e 63
 
1.9%
Other values (41) 533
16.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 3297
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1 851
25.8%
E 463
14.0%
W 359
10.9%
S 305
 
9.3%
C 294
 
8.9%
N 153
 
4.6%
2 120
 
3.6%
6 92
 
2.8%
w 64
 
1.9%
e 63
 
1.9%
Other values (41) 533
16.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 3297
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1 851
25.8%
E 463
14.0%
W 359
10.9%
S 305
 
9.3%
C 294
 
8.9%
N 153
 
4.6%
2 120
 
3.6%
6 92
 
2.8%
w 64
 
1.9%
e 63
 
1.9%
Other values (41) 533
16.2%

w1_A10UC
Unsupported

Missing  Rejected  Unsupported 

And exactly in which neighbourhood of the town do you live? What area exactly do you live in? [See Appendix]1. Centro 2. Sajonia 3. San Vicente y Santa Ana 4. Mcal López1 (entre Brasil y Gral Santos) 5. España1 (entre Brasil y Gral Santos) 6. Mcal López2 (entre Gral Santos y Rca. Argentina) 7. España2 (entre Gral Santos y Rca. Argentina) 8. Pinoza/ Seminario 9. Los Laureles 10. Shopping del Sol hasta calle Última 11. Trinidad 12. Loma Pyta

Missing1980
Missing (%)100.0%
Memory size17.5 KiB

w1_A10IPICYT
Unsupported

Missing  Rejected  Unsupported 

And exactly in which neighbourhood of the town do you live? In which area do you live? [See Appendix]

Missing1980
Missing (%)100.0%
Memory size17.5 KiB

w1_A11NUM
Unsupported

Missing  Rejected  Unsupported 

What kind of accommodation are you living in? [See Appendix]1. University dormitory (dormitory) 2. In the university apartment 3. Dormitory (Private dormitory) 4. Rental apartment / house 5. Own apartment or house (may be yours, parents 'or relatives') 6. As a private guest / guest (adjoining room for rent) 7. As a friend or guest of friends 8. Mongolian ger and fence 9. Fence in the house

Missing1980
Missing (%)100.0%
Memory size17.5 KiB

w1_A11
Real number (ℝ)

Missing 

What kind of accommodation are you living in? 1. University students’ Residence (dormitory) (e.g. LSE Hall of Residence, San Bartolameo, Danmarks Internationale Kollegium) 2. University flat 3. University campus4. A private sector Hall of Residence (Private students’ dormitory)5. Rental house/flat 6. in a house/apartment owned (by you, your parents, or relatives) 7. guest of a private person8. guest of friend or friends

Distinct8
Distinct (%)0.6%
Missing586
Missing (%)29.6%
Infinite0
Infinite (%)0.0%
Mean3.799139168
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:28.946897image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median5
Q35
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.984462071
Coefficient of variation (CV)0.5223451901
Kurtosis-1.36296723
Mean3.799139168
Median Absolute Deviation (MAD)1
Skewness-0.508256179
Sum5296
Variance3.938089711
MonotonicityNot monotonic
2025-02-26T17:43:28.986754image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
5 573
28.9%
1 427
21.6%
6 217
 
11.0%
4 137
 
6.9%
2 24
 
1.2%
7 7
 
0.4%
8 6
 
0.3%
3 3
 
0.2%
(Missing) 586
29.6%
ValueCountFrequency (%)
1 427
21.6%
2 24
 
1.2%
3 3
 
0.2%
4 137
 
6.9%
5 573
28.9%
ValueCountFrequency (%)
8 6
 
0.3%
7 7
 
0.4%
6 217
 
11.0%
5 573
28.9%
4 137
 
6.9%

w1_B01_1
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Am the life of the party

Distinct5
Distinct (%)0.4%
Missing631
Missing (%)31.9%
Infinite0
Infinite (%)0.0%
Mean2.749444033
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:29.025474image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.122111221
Coefficient of variation (CV)0.4081229543
Kurtosis-0.9187257064
Mean2.749444033
Median Absolute Deviation (MAD)1
Skewness0.01526703673
Sum3709
Variance1.259133593
MonotonicityNot monotonic
2025-02-26T17:43:29.065080image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 386
19.5%
2 359
18.1%
4 331
16.7%
1 214
 
10.8%
5 59
 
3.0%
(Missing) 631
31.9%
ValueCountFrequency (%)
1 214
10.8%
2 359
18.1%
3 386
19.5%
4 331
16.7%
5 59
 
3.0%
ValueCountFrequency (%)
5 59
 
3.0%
4 331
16.7%
3 386
19.5%
2 359
18.1%
1 214
10.8%

w1_B01_2
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Sympathize with others’ feelings

Distinct5
Distinct (%)0.4%
Missing630
Missing (%)31.8%
Infinite0
Infinite (%)0.0%
Mean4.194814815
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:29.104961image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8608801777
Coefficient of variation (CV)0.2052248349
Kurtosis1.715494007
Mean4.194814815
Median Absolute Deviation (MAD)1
Skewness-1.251205297
Sum5663
Variance0.7411146803
MonotonicityNot monotonic
2025-02-26T17:43:29.145764image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 615
31.1%
5 547
27.6%
3 106
 
5.4%
2 68
 
3.4%
1 14
 
0.7%
(Missing) 630
31.8%
ValueCountFrequency (%)
1 14
 
0.7%
2 68
 
3.4%
3 106
 
5.4%
4 615
31.1%
5 547
27.6%
ValueCountFrequency (%)
5 547
27.6%
4 615
31.1%
3 106
 
5.4%
2 68
 
3.4%
1 14
 
0.7%

w1_B01_3
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Get chores done right away

Distinct5
Distinct (%)0.4%
Missing632
Missing (%)31.9%
Infinite0
Infinite (%)0.0%
Mean3.401335312
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:29.186468image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.092553453
Coefficient of variation (CV)0.3212130982
Kurtosis-0.743719862
Mean3.401335312
Median Absolute Deviation (MAD)1
Skewness-0.3181332631
Sum4585
Variance1.193673049
MonotonicityNot monotonic
2025-02-26T17:43:29.226638image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 497
25.1%
3 321
16.2%
2 264
13.3%
5 210
 
10.6%
1 56
 
2.8%
(Missing) 632
31.9%
ValueCountFrequency (%)
1 56
 
2.8%
2 264
13.3%
3 321
16.2%
4 497
25.1%
5 210
10.6%
ValueCountFrequency (%)
5 210
10.6%
4 497
25.1%
3 321
16.2%
2 264
13.3%
1 56
 
2.8%

w1_B01_4
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Have frequent mood swings

Distinct5
Distinct (%)0.4%
Missing631
Missing (%)31.9%
Infinite0
Infinite (%)0.0%
Mean3.04670126
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:29.266001image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.224762383
Coefficient of variation (CV)0.4019962175
Kurtosis-1.105774304
Mean3.04670126
Median Absolute Deviation (MAD)1
Skewness-0.09884687777
Sum4110
Variance1.500042894
MonotonicityNot monotonic
2025-02-26T17:43:29.306452image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 432
21.8%
2 361
18.2%
3 248
 
12.5%
1 156
 
7.9%
5 152
 
7.7%
(Missing) 631
31.9%
ValueCountFrequency (%)
1 156
 
7.9%
2 361
18.2%
3 248
12.5%
4 432
21.8%
5 152
 
7.7%
ValueCountFrequency (%)
5 152
 
7.7%
4 432
21.8%
3 248
12.5%
2 361
18.2%
1 156
 
7.9%

w1_B01_5
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Have a vivid imagination

Distinct5
Distinct (%)0.4%
Missing632
Missing (%)31.9%
Infinite0
Infinite (%)0.0%
Mean3.825667656
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:29.345372image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.006302301
Coefficient of variation (CV)0.2630396551
Kurtosis-0.01620754309
Mean3.825667656
Median Absolute Deviation (MAD)1
Skewness-0.7226609913
Sum5157
Variance1.01264432
MonotonicityNot monotonic
2025-02-26T17:43:29.386564image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 565
28.5%
5 368
18.6%
3 256
12.9%
2 130
 
6.6%
1 29
 
1.5%
(Missing) 632
31.9%
ValueCountFrequency (%)
1 29
 
1.5%
2 130
 
6.6%
3 256
12.9%
4 565
28.5%
5 368
18.6%
ValueCountFrequency (%)
5 368
18.6%
4 565
28.5%
3 256
12.9%
2 130
 
6.6%
1 29
 
1.5%

w1_B01_6
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Don’t talk a lot

Distinct5
Distinct (%)0.4%
Missing632
Missing (%)31.9%
Infinite0
Infinite (%)0.0%
Mean2.665430267
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:29.426390image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.208761952
Coefficient of variation (CV)0.4534959954
Kurtosis-0.8592904204
Mean2.665430267
Median Absolute Deviation (MAD)1
Skewness0.2992670818
Sum3593
Variance1.461105457
MonotonicityNot monotonic
2025-02-26T17:43:29.466538image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 405
20.5%
3 333
16.8%
1 256
12.9%
4 242
 
12.2%
5 112
 
5.7%
(Missing) 632
31.9%
ValueCountFrequency (%)
1 256
12.9%
2 405
20.5%
3 333
16.8%
4 242
12.2%
5 112
 
5.7%
ValueCountFrequency (%)
5 112
 
5.7%
4 242
12.2%
3 333
16.8%
2 405
20.5%
1 256
12.9%

w1_B01_7
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Am not interested in other people’s problems

Distinct5
Distinct (%)0.4%
Missing631
Missing (%)31.9%
Infinite0
Infinite (%)0.0%
Mean2.111934766
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:29.505394image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.019868588
Coefficient of variation (CV)0.4829072394
Kurtosis0.132505367
Mean2.111934766
Median Absolute Deviation (MAD)1
Skewness0.8378258903
Sum2849
Variance1.040131936
MonotonicityNot monotonic
2025-02-26T17:43:29.545352image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 565
28.5%
1 412
20.8%
3 212
 
10.7%
4 129
 
6.5%
5 31
 
1.6%
(Missing) 631
31.9%
ValueCountFrequency (%)
1 412
20.8%
2 565
28.5%
3 212
 
10.7%
4 129
 
6.5%
5 31
 
1.6%
ValueCountFrequency (%)
5 31
 
1.6%
4 129
 
6.5%
3 212
 
10.7%
2 565
28.5%
1 412
20.8%

w1_B01_8
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Often forget to put things back in their proper place

Distinct5
Distinct (%)0.4%
Missing632
Missing (%)31.9%
Infinite0
Infinite (%)0.0%
Mean2.456231454
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:29.585719image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33.25
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation1.281591918
Coefficient of variation (CV)0.5217716416
Kurtosis-0.9147207602
Mean2.456231454
Median Absolute Deviation (MAD)1
Skewness0.4969133579
Sum3311
Variance1.642477844
MonotonicityNot monotonic
2025-02-26T17:43:29.625080image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 401
20.3%
1 388
19.6%
4 230
 
11.6%
3 222
 
11.2%
5 107
 
5.4%
(Missing) 632
31.9%
ValueCountFrequency (%)
1 388
19.6%
2 401
20.3%
3 222
11.2%
4 230
11.6%
5 107
 
5.4%
ValueCountFrequency (%)
5 107
 
5.4%
4 230
11.6%
3 222
11.2%
2 401
20.3%
1 388
19.6%

w1_B01_9
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Am relaxed most of the time

Distinct5
Distinct (%)0.4%
Missing632
Missing (%)31.9%
Infinite0
Infinite (%)0.0%
Mean2.949554896
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:29.664949image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.172744715
Coefficient of variation (CV)0.3976005722
Kurtosis-1.058764458
Mean2.949554896
Median Absolute Deviation (MAD)1
Skewness0.01223040938
Sum3976
Variance1.375330166
MonotonicityNot monotonic
2025-02-26T17:43:29.704485image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 413
20.9%
4 407
20.6%
3 269
13.6%
1 145
 
7.3%
5 114
 
5.8%
(Missing) 632
31.9%
ValueCountFrequency (%)
1 145
 
7.3%
2 413
20.9%
3 269
13.6%
4 407
20.6%
5 114
 
5.8%
ValueCountFrequency (%)
5 114
 
5.8%
4 407
20.6%
3 269
13.6%
2 413
20.9%
1 145
 
7.3%

w1_B01_10
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Am not interested in abstract ideas

Distinct5
Distinct (%)0.4%
Missing633
Missing (%)32.0%
Infinite0
Infinite (%)0.0%
Mean2.186340015
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:29.743517image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.08762752
Coefficient of variation (CV)0.4974649473
Kurtosis-0.2427042612
Mean2.186340015
Median Absolute Deviation (MAD)1
Skewness0.7253129105
Sum2945
Variance1.182933623
MonotonicityNot monotonic
2025-02-26T17:43:29.785208image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 491
24.8%
1 419
21.2%
3 246
 
12.4%
4 149
 
7.5%
5 42
 
2.1%
(Missing) 633
32.0%
ValueCountFrequency (%)
1 419
21.2%
2 491
24.8%
3 246
12.4%
4 149
 
7.5%
5 42
 
2.1%
ValueCountFrequency (%)
5 42
 
2.1%
4 149
 
7.5%
3 246
12.4%
2 491
24.8%
1 419
21.2%

w1_B01_11
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Talk to a lot of different people at parties

Distinct5
Distinct (%)0.4%
Missing633
Missing (%)32.0%
Infinite0
Infinite (%)0.0%
Mean3.017074981
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:29.824705image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.253407621
Coefficient of variation (CV)0.4154380084
Kurtosis-1.113689669
Mean3.017074981
Median Absolute Deviation (MAD)1
Skewness-0.05264530205
Sum4064
Variance1.571030665
MonotonicityNot monotonic
2025-02-26T17:43:29.864742image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 388
19.6%
2 347
17.5%
3 267
13.5%
1 177
 
8.9%
5 168
 
8.5%
(Missing) 633
32.0%
ValueCountFrequency (%)
1 177
8.9%
2 347
17.5%
3 267
13.5%
4 388
19.6%
5 168
8.5%
ValueCountFrequency (%)
5 168
8.5%
4 388
19.6%
3 267
13.5%
2 347
17.5%
1 177
8.9%

w1_B01_12
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Feel others’ emotions

Distinct5
Distinct (%)0.4%
Missing636
Missing (%)32.1%
Infinite0
Infinite (%)0.0%
Mean3.942708333
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:29.904097image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9247923603
Coefficient of variation (CV)0.2345576396
Kurtosis1.015786876
Mean3.942708333
Median Absolute Deviation (MAD)0
Skewness-1.00632491
Sum5299
Variance0.8552409097
MonotonicityNot monotonic
2025-02-26T17:43:29.946339image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 673
34.0%
5 368
18.6%
3 189
 
9.5%
2 86
 
4.3%
1 28
 
1.4%
(Missing) 636
32.1%
ValueCountFrequency (%)
1 28
 
1.4%
2 86
 
4.3%
3 189
 
9.5%
4 673
34.0%
5 368
18.6%
ValueCountFrequency (%)
5 368
18.6%
4 673
34.0%
3 189
 
9.5%
2 86
 
4.3%
1 28
 
1.4%

w1_B01_13
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Like order

Distinct5
Distinct (%)0.4%
Missing632
Missing (%)31.9%
Infinite0
Infinite (%)0.0%
Mean3.879080119
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:29.986704image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9584113848
Coefficient of variation (CV)0.24707182
Kurtosis0.4035130474
Mean3.879080119
Median Absolute Deviation (MAD)1
Skewness-0.8409763322
Sum5229
Variance0.9185523826
MonotonicityNot monotonic
2025-02-26T17:43:30.027358image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 629
31.8%
5 359
18.1%
3 224
 
11.3%
2 110
 
5.6%
1 26
 
1.3%
(Missing) 632
31.9%
ValueCountFrequency (%)
1 26
 
1.3%
2 110
 
5.6%
3 224
 
11.3%
4 629
31.8%
5 359
18.1%
ValueCountFrequency (%)
5 359
18.1%
4 629
31.8%
3 224
 
11.3%
2 110
 
5.6%
1 26
 
1.3%

w1_B01_14
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Get upset easily

Distinct5
Distinct (%)0.4%
Missing633
Missing (%)32.0%
Infinite0
Infinite (%)0.0%
Mean2.8359317
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:30.068087image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.187084065
Coefficient of variation (CV)0.4185869727
Kurtosis-0.984441946
Mean2.8359317
Median Absolute Deviation (MAD)1
Skewness0.1541352059
Sum3820
Variance1.409168578
MonotonicityNot monotonic
2025-02-26T17:43:30.107469image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 427
21.6%
4 330
16.7%
3 296
14.9%
1 178
 
9.0%
5 116
 
5.9%
(Missing) 633
32.0%
ValueCountFrequency (%)
1 178
9.0%
2 427
21.6%
3 296
14.9%
4 330
16.7%
5 116
 
5.9%
ValueCountFrequency (%)
5 116
 
5.9%
4 330
16.7%
3 296
14.9%
2 427
21.6%
1 178
9.0%

w1_B01_15
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Have difficulty understanding abstract ideas

Distinct5
Distinct (%)0.4%
Missing633
Missing (%)32.0%
Infinite0
Infinite (%)0.0%
Mean2.252412769
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:30.147053image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.011148722
Coefficient of variation (CV)0.4489180383
Kurtosis-0.3278775453
Mean2.252412769
Median Absolute Deviation (MAD)1
Skewness0.5802571515
Sum3034
Variance1.022421737
MonotonicityNot monotonic
2025-02-26T17:43:30.187033image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 554
28.0%
1 330
16.7%
3 280
14.1%
4 159
 
8.0%
5 24
 
1.2%
(Missing) 633
32.0%
ValueCountFrequency (%)
1 330
16.7%
2 554
28.0%
3 280
14.1%
4 159
 
8.0%
5 24
 
1.2%
ValueCountFrequency (%)
5 24
 
1.2%
4 159
 
8.0%
3 280
14.1%
2 554
28.0%
1 330
16.7%

w1_B01_16
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Keep in the background

Distinct5
Distinct (%)0.4%
Missing637
Missing (%)32.2%
Infinite0
Infinite (%)0.0%
Mean2.7728965
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:30.226449image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.04222815
Coefficient of variation (CV)0.3758626225
Kurtosis-0.6763162185
Mean2.7728965
Median Absolute Deviation (MAD)1
Skewness0.07639921622
Sum3724
Variance1.086239518
MonotonicityNot monotonic
2025-02-26T17:43:30.266688image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 440
22.2%
2 402
20.3%
4 293
14.8%
1 153
 
7.7%
5 55
 
2.8%
(Missing) 637
32.2%
ValueCountFrequency (%)
1 153
 
7.7%
2 402
20.3%
3 440
22.2%
4 293
14.8%
5 55
 
2.8%
ValueCountFrequency (%)
5 55
 
2.8%
4 293
14.8%
3 440
22.2%
2 402
20.3%
1 153
 
7.7%

w1_B01_17
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Am not really interested in others

Distinct5
Distinct (%)0.4%
Missing631
Missing (%)31.9%
Infinite0
Infinite (%)0.0%
Mean1.988139362
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:30.305567image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9751398857
Coefficient of variation (CV)0.4904786375
Kurtosis0.559600103
Mean1.988139362
Median Absolute Deviation (MAD)1
Skewness0.9900010278
Sum2682
Variance0.9508977966
MonotonicityNot monotonic
2025-02-26T17:43:30.346762image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 574
29.0%
1 472
23.8%
3 174
 
8.8%
4 105
 
5.3%
5 24
 
1.2%
(Missing) 631
31.9%
ValueCountFrequency (%)
1 472
23.8%
2 574
29.0%
3 174
 
8.8%
4 105
 
5.3%
5 24
 
1.2%
ValueCountFrequency (%)
5 24
 
1.2%
4 105
 
5.3%
3 174
 
8.8%
2 574
29.0%
1 472
23.8%

w1_B01_18
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Make a mess of things

Distinct5
Distinct (%)0.4%
Missing633
Missing (%)32.0%
Infinite0
Infinite (%)0.0%
Mean2.161098738
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:30.386854image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.054263816
Coefficient of variation (CV)0.4878369497
Kurtosis-0.1936246872
Mean2.161098738
Median Absolute Deviation (MAD)1
Skewness0.7570967354
Sum2911
Variance1.111472195
MonotonicityNot monotonic
2025-02-26T17:43:30.428177image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 548
27.7%
1 403
20.4%
3 202
 
10.2%
4 164
 
8.3%
5 30
 
1.5%
(Missing) 633
32.0%
ValueCountFrequency (%)
1 403
20.4%
2 548
27.7%
3 202
 
10.2%
4 164
 
8.3%
5 30
 
1.5%
ValueCountFrequency (%)
5 30
 
1.5%
4 164
 
8.3%
3 202
 
10.2%
2 548
27.7%
1 403
20.4%

w1_B01_19
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Seldom feel blue

Distinct5
Distinct (%)0.4%
Missing635
Missing (%)32.1%
Infinite0
Infinite (%)0.0%
Mean2.646096654
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:30.467666image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q34
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.119211965
Coefficient of variation (CV)0.4229671516
Kurtosis-0.8113865565
Mean2.646096654
Median Absolute Deviation (MAD)1
Skewness0.2790690691
Sum3559
Variance1.252635422
MonotonicityNot monotonic
2025-02-26T17:43:30.507088image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 473
23.9%
3 318
16.1%
4 279
14.1%
1 208
 
10.5%
5 67
 
3.4%
(Missing) 635
32.1%
ValueCountFrequency (%)
1 208
10.5%
2 473
23.9%
3 318
16.1%
4 279
14.1%
5 67
 
3.4%
ValueCountFrequency (%)
5 67
 
3.4%
4 279
14.1%
3 318
16.1%
2 473
23.9%
1 208
10.5%

w1_B01_20
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Do not have a good imagination

Distinct5
Distinct (%)0.4%
Missing631
Missing (%)31.9%
Infinite0
Infinite (%)0.0%
Mean1.992587102
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:30.546978image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9910301983
Coefficient of variation (CV)0.4973585333
Kurtosis0.1937661484
Mean1.992587102
Median Absolute Deviation (MAD)1
Skewness0.9124785119
Sum2688
Variance0.9821408539
MonotonicityNot monotonic
2025-02-26T17:43:30.587154image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 541
27.3%
1 489
24.7%
3 177
 
8.9%
4 124
 
6.3%
5 18
 
0.9%
(Missing) 631
31.9%
ValueCountFrequency (%)
1 489
24.7%
2 541
27.3%
3 177
 
8.9%
4 124
 
6.3%
5 18
 
0.9%
ValueCountFrequency (%)
5 18
 
0.9%
4 124
 
6.3%
3 177
 
8.9%
2 541
27.3%
1 489
24.7%

w1_B02_1
Real number (ℝ)

Missing 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: SOCIAL SUPPORT. To obtain help when you need it; to feel that you are not alone in the world.

Distinct7
Distinct (%)0.5%
Missing634
Missing (%)32.0%
Infinite0
Infinite (%)0.0%
Mean5.458395245
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:30.624669image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median6
Q37
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.440304112
Coefficient of variation (CV)0.2638695161
Kurtosis0.2181324235
Mean5.458395245
Median Absolute Deviation (MAD)1
Skewness-0.8571861838
Sum7347
Variance2.074475936
MonotonicityNot monotonic
2025-02-26T17:43:30.660868image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 401
20.3%
6 333
16.8%
5 313
15.8%
4 153
 
7.7%
3 90
 
4.5%
2 39
 
2.0%
1 17
 
0.9%
(Missing) 634
32.0%
ValueCountFrequency (%)
1 17
 
0.9%
2 39
 
2.0%
3 90
 
4.5%
4 153
7.7%
5 313
15.8%
ValueCountFrequency (%)
7 401
20.3%
6 333
16.8%
5 313
15.8%
4 153
 
7.7%
3 90
 
4.5%

w1_B02_2
Real number (ℝ)

Missing 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: SUCCESS. To reach your goals; to be efficient in everything you do.

Distinct7
Distinct (%)0.5%
Missing634
Missing (%)32.0%
Infinite0
Infinite (%)0.0%
Mean5.841753343
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:30.695644image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q15
median6
Q37
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.145637746
Coefficient of variation (CV)0.1961119682
Kurtosis1.5214753
Mean5.841753343
Median Absolute Deviation (MAD)1
Skewness-1.111038387
Sum7863
Variance1.312485845
MonotonicityNot monotonic
2025-02-26T17:43:30.731905image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 460
23.2%
6 438
22.1%
5 300
15.2%
4 95
 
4.8%
3 36
 
1.8%
2 10
 
0.5%
1 7
 
0.4%
(Missing) 634
32.0%
ValueCountFrequency (%)
1 7
 
0.4%
2 10
 
0.5%
3 36
 
1.8%
4 95
 
4.8%
5 300
15.2%
ValueCountFrequency (%)
7 460
23.2%
6 438
22.1%
5 300
15.2%
4 95
 
4.8%
3 36
 
1.8%

w1_B02_3
Real number (ℝ)

Missing 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: SEXUALITY. To have sexual relationships; to obtain sexual pleasure.

Distinct7
Distinct (%)0.5%
Missing636
Missing (%)32.1%
Infinite0
Infinite (%)0.0%
Mean3.968005952
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:30.766584image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q35
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.629864677
Coefficient of variation (CV)0.4107515706
Kurtosis-0.8505014008
Mean3.968005952
Median Absolute Deviation (MAD)1
Skewness-0.05279416356
Sum5333
Variance2.656458865
MonotonicityNot monotonic
2025-02-26T17:43:30.803841image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
5 283
14.3%
4 264
13.3%
3 254
 
12.8%
6 187
 
9.4%
2 184
 
9.3%
1 99
 
5.0%
7 73
 
3.7%
(Missing) 636
32.1%
ValueCountFrequency (%)
1 99
 
5.0%
2 184
9.3%
3 254
12.8%
4 264
13.3%
5 283
14.3%
ValueCountFrequency (%)
7 73
 
3.7%
6 187
9.4%
5 283
14.3%
4 264
13.3%
3 254
12.8%

w1_B02_4
Real number (ℝ)

Missing 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: KNOWLEDGE. To look for up-to-date news on not very well-known matters; to try to discover new things about the world.

Distinct7
Distinct (%)0.5%
Missing637
Missing (%)32.2%
Infinite0
Infinite (%)0.0%
Mean5.594936709
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:30.904841image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median6
Q37
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.279683493
Coefficient of variation (CV)0.2287217104
Kurtosis0.6091294937
Mean5.594936709
Median Absolute Deviation (MAD)1
Skewness-0.901030393
Sum7514
Variance1.637589843
MonotonicityNot monotonic
2025-02-26T17:43:30.940897image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
6 405
20.5%
7 384
19.4%
5 309
15.6%
4 157
 
7.9%
3 56
 
2.8%
2 23
 
1.2%
1 9
 
0.5%
(Missing) 637
32.2%
ValueCountFrequency (%)
1 9
 
0.5%
2 23
 
1.2%
3 56
 
2.8%
4 157
7.9%
5 309
15.6%
ValueCountFrequency (%)
7 384
19.4%
6 405
20.5%
5 309
15.6%
4 157
 
7.9%
3 56
 
2.8%

w1_B02_5
Real number (ℝ)

Missing 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: EMOTION. To enjoy challenges or unknown situations; to look for adventure.

Distinct7
Distinct (%)0.5%
Missing636
Missing (%)32.1%
Infinite0
Infinite (%)0.0%
Mean5.342261905
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:30.976397image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median6
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.349156413
Coefficient of variation (CV)0.2525440416
Kurtosis0.2187645865
Mean5.342261905
Median Absolute Deviation (MAD)1
Skewness-0.7281475135
Sum7180
Variance1.820223026
MonotonicityNot monotonic
2025-02-26T17:43:31.013544image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
6 377
19.0%
5 342
17.3%
7 298
15.1%
4 202
 
10.2%
3 77
 
3.9%
2 35
 
1.8%
1 13
 
0.7%
(Missing) 636
32.1%
ValueCountFrequency (%)
1 13
 
0.7%
2 35
 
1.8%
3 77
 
3.9%
4 202
10.2%
5 342
17.3%
ValueCountFrequency (%)
7 298
15.1%
6 377
19.0%
5 342
17.3%
4 202
10.2%
3 77
 
3.9%

w1_B02_6
Real number (ℝ)

Missing 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: POWER. To have the power to influence others and to control decisions; to be the boss of a team.

Distinct7
Distinct (%)0.5%
Missing636
Missing (%)32.1%
Infinite0
Infinite (%)0.0%
Mean4.34672619
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:31.049519image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.523317302
Coefficient of variation (CV)0.3504516354
Kurtosis-0.6339752171
Mean4.34672619
Median Absolute Deviation (MAD)1
Skewness-0.126504381
Sum5842
Variance2.320495603
MonotonicityNot monotonic
2025-02-26T17:43:31.086950image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
5 320
16.2%
4 316
16.0%
3 218
 
11.0%
6 201
 
10.2%
2 133
 
6.7%
7 116
 
5.9%
1 40
 
2.0%
(Missing) 636
32.1%
ValueCountFrequency (%)
1 40
 
2.0%
2 133
6.7%
3 218
11.0%
4 316
16.0%
5 320
16.2%
ValueCountFrequency (%)
7 116
 
5.9%
6 201
10.2%
5 320
16.2%
4 316
16.0%
3 218
11.0%

w1_B02_7
Real number (ℝ)

Missing 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: AFFECTIVITY. To have a deep and enduring affectionate relationship; to have somebody to share successes and failures.

Distinct7
Distinct (%)0.5%
Missing637
Missing (%)32.2%
Infinite0
Infinite (%)0.0%
Mean5.684288905
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:31.122483image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median6
Q37
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.385505792
Coefficient of variation (CV)0.2437430285
Kurtosis1.268189338
Mean5.684288905
Median Absolute Deviation (MAD)1
Skewness-1.217134009
Sum7634
Variance1.919626301
MonotonicityNot monotonic
2025-02-26T17:43:31.158524image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 468
23.6%
6 381
19.2%
5 278
14.0%
4 110
 
5.6%
3 49
 
2.5%
2 38
 
1.9%
1 19
 
1.0%
(Missing) 637
32.2%
ValueCountFrequency (%)
1 19
 
1.0%
2 38
 
1.9%
3 49
 
2.5%
4 110
 
5.6%
5 278
14.0%
ValueCountFrequency (%)
7 468
23.6%
6 381
19.2%
5 278
14.0%
4 110
 
5.6%
3 49
 
2.5%

w1_B02_8
Unsupported

Missing  Rejected  Unsupported 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: RELIGIOSITY. To believe in God as the savior of humanity; to fulfill the will of God.

Missing1980
Missing (%)100.0%
Memory size17.5 KiB

w1_B02_9
Real number (ℝ)

Missing 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: HEALTH. To look after your health at all times, not just when sick; not to be sick.

Distinct7
Distinct (%)0.5%
Missing639
Missing (%)32.3%
Infinite0
Infinite (%)0.0%
Mean5.636092468
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:31.193440image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median6
Q37
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.391984818
Coefficient of variation (CV)0.2469769306
Kurtosis0.5109158581
Mean5.636092468
Median Absolute Deviation (MAD)1
Skewness-0.971190944
Sum7558
Variance1.937621735
MonotonicityNot monotonic
2025-02-26T17:43:31.230106image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 483
24.4%
6 306
15.5%
5 303
15.3%
4 136
 
6.9%
3 70
 
3.5%
2 29
 
1.5%
1 14
 
0.7%
(Missing) 639
32.3%
ValueCountFrequency (%)
1 14
 
0.7%
2 29
 
1.5%
3 70
 
3.5%
4 136
6.9%
5 303
15.3%
ValueCountFrequency (%)
7 483
24.4%
6 306
15.5%
5 303
15.3%
4 136
 
6.9%
3 70
 
3.5%

w1_B02_10
Real number (ℝ)

Missing 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: PLEASURE. To live for the moment; to satisfy all your desires.

Distinct7
Distinct (%)0.5%
Missing641
Missing (%)32.4%
Infinite0
Infinite (%)0.0%
Mean4.905899925
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:31.265255image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.486396559
Coefficient of variation (CV)0.3029814268
Kurtosis-0.3402901754
Mean4.905899925
Median Absolute Deviation (MAD)1
Skewness-0.51929263
Sum6569
Variance2.209374731
MonotonicityNot monotonic
2025-02-26T17:43:31.302556image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
5 347
17.5%
6 326
16.5%
4 235
 
11.9%
7 193
 
9.7%
3 135
 
6.8%
2 79
 
4.0%
1 24
 
1.2%
(Missing) 641
32.4%
ValueCountFrequency (%)
1 24
 
1.2%
2 79
 
4.0%
3 135
 
6.8%
4 235
11.9%
5 347
17.5%
ValueCountFrequency (%)
7 193
9.7%
6 326
16.5%
5 347
17.5%
4 235
11.9%
3 135
 
6.8%

w1_B02_11
Real number (ℝ)

Missing 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: PRESTIGE. To know that a lot of people know and admire you; when you are older to receive a homage for your contributions.

Distinct7
Distinct (%)0.5%
Missing637
Missing (%)32.2%
Infinite0
Infinite (%)0.0%
Mean4.344750558
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:31.339504image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median5
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.607865468
Coefficient of variation (CV)0.3700708353
Kurtosis-0.7297506101
Mean4.344750558
Median Absolute Deviation (MAD)1
Skewness-0.2165608068
Sum5835
Variance2.585231365
MonotonicityNot monotonic
2025-02-26T17:43:31.376813image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
5 335
16.9%
4 267
13.5%
6 212
 
10.7%
3 195
 
9.8%
2 151
 
7.6%
7 125
 
6.3%
1 58
 
2.9%
(Missing) 637
32.2%
ValueCountFrequency (%)
1 58
 
2.9%
2 151
7.6%
3 195
9.8%
4 267
13.5%
5 335
16.9%
ValueCountFrequency (%)
7 125
 
6.3%
6 212
10.7%
5 335
16.9%
4 267
13.5%
3 195
9.8%

w1_B02_12
Real number (ℝ)

Missing 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: OBEDIENCE. To fulfill your daily duties and obligations; to respect your parents, superiors, or elders.

Distinct7
Distinct (%)0.5%
Missing636
Missing (%)32.1%
Infinite0
Infinite (%)0.0%
Mean4.39360119
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:31.414217image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.663140095
Coefficient of variation (CV)0.3785368818
Kurtosis-0.8574425034
Mean4.39360119
Median Absolute Deviation (MAD)1
Skewness-0.1960418684
Sum5905
Variance2.766034974
MonotonicityNot monotonic
2025-02-26T17:43:31.450698image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
5 277
14.0%
4 262
13.2%
6 243
 
12.3%
3 203
 
10.3%
2 152
 
7.7%
7 149
 
7.5%
1 58
 
2.9%
(Missing) 636
32.1%
ValueCountFrequency (%)
1 58
 
2.9%
2 152
7.7%
3 203
10.3%
4 262
13.2%
5 277
14.0%
ValueCountFrequency (%)
7 149
7.5%
6 243
12.3%
5 277
14.0%
4 262
13.2%
3 203
10.3%

w1_B02_13
Real number (ℝ)

Missing 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: PERSONAL STABILITY. To have the certainty that tomorrow you will have all that you have today; to have an organized and planned life.

Distinct7
Distinct (%)0.5%
Missing639
Missing (%)32.3%
Infinite0
Infinite (%)0.0%
Mean5.228187919
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:31.485926image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q14
median5
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.424250129
Coefficient of variation (CV)0.2724175472
Kurtosis-0.3121332476
Mean5.228187919
Median Absolute Deviation (MAD)1
Skewness-0.5894828803
Sum7011
Variance2.02848843
MonotonicityNot monotonic
2025-02-26T17:43:31.524308image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
6 354
17.9%
5 307
15.5%
7 291
14.7%
4 217
 
11.0%
3 113
 
5.7%
2 49
 
2.5%
1 10
 
0.5%
(Missing) 639
32.3%
ValueCountFrequency (%)
1 10
 
0.5%
2 49
 
2.5%
3 113
 
5.7%
4 217
11.0%
5 307
15.5%
ValueCountFrequency (%)
7 291
14.7%
6 354
17.9%
5 307
15.5%
4 217
11.0%
3 113
 
5.7%

w1_B02_14
Real number (ℝ)

Missing 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: BELONGING. To have good neighborly relationships; to form part of a group (e.g., social, religious, sporting, etc.).

Distinct7
Distinct (%)0.5%
Missing635
Missing (%)32.1%
Infinite0
Infinite (%)0.0%
Mean5.13605948
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:31.560288image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.442886161
Coefficient of variation (CV)0.2809325255
Kurtosis-0.0676067406
Mean5.13605948
Median Absolute Deviation (MAD)1
Skewness-0.6406092324
Sum6908
Variance2.081920473
MonotonicityNot monotonic
2025-02-26T17:43:31.598263image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
5 374
18.9%
6 330
16.7%
7 259
13.1%
4 192
 
9.7%
3 117
 
5.9%
2 53
 
2.7%
1 20
 
1.0%
(Missing) 635
32.1%
ValueCountFrequency (%)
1 20
 
1.0%
2 53
 
2.7%
3 117
 
5.9%
4 192
9.7%
5 374
18.9%
ValueCountFrequency (%)
7 259
13.1%
6 330
16.7%
5 374
18.9%
4 192
9.7%
3 117
 
5.9%

w1_B02_15
Real number (ℝ)

Missing 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: BEAUTY. To be able to appreciate the best in art, music, and literature; to go to museums or exhibitions where you can see beautiful things.

Distinct7
Distinct (%)0.5%
Missing637
Missing (%)32.2%
Infinite0
Infinite (%)0.0%
Mean4.994787789
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:31.634151image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.50433143
Coefficient of variation (CV)0.301180249
Kurtosis-0.3500047565
Mean4.994787789
Median Absolute Deviation (MAD)1
Skewness-0.5382774398
Sum6708
Variance2.263013051
MonotonicityNot monotonic
2025-02-26T17:43:31.671816image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
5 339
17.1%
6 319
16.1%
7 236
 
11.9%
4 214
 
10.8%
3 146
 
7.4%
2 64
 
3.2%
1 25
 
1.3%
(Missing) 637
32.2%
ValueCountFrequency (%)
1 25
 
1.3%
2 64
 
3.2%
3 146
7.4%
4 214
10.8%
5 339
17.1%
ValueCountFrequency (%)
7 236
11.9%
6 319
16.1%
5 339
17.1%
4 214
10.8%
3 146
7.4%

w1_B02_16
Real number (ℝ)

Missing 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: TRADITION. To follow the social norms of your country; to respect the traditions of your society.

Distinct7
Distinct (%)0.5%
Missing637
Missing (%)32.2%
Infinite0
Infinite (%)0.0%
Mean3.542814594
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:31.707679image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.713296854
Coefficient of variation (CV)0.4835976619
Kurtosis-0.879768573
Mean3.542814594
Median Absolute Deviation (MAD)1
Skewness0.2310825044
Sum4758
Variance2.935386111
MonotonicityNot monotonic
2025-02-26T17:43:31.743784image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3 261
13.2%
2 249
 
12.6%
4 237
 
12.0%
5 222
 
11.2%
1 179
 
9.0%
6 125
 
6.3%
7 70
 
3.5%
(Missing) 637
32.2%
ValueCountFrequency (%)
1 179
9.0%
2 249
12.6%
3 261
13.2%
4 237
12.0%
5 222
11.2%
ValueCountFrequency (%)
7 70
 
3.5%
6 125
6.3%
5 222
11.2%
4 237
12.0%
3 261
13.2%

w1_B02_17
Real number (ℝ)

Missing 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: SURVIVAL. To have water, food, and shelter every day in your life; to live in a place with enough food.

Distinct7
Distinct (%)0.5%
Missing636
Missing (%)32.1%
Infinite0
Infinite (%)0.0%
Mean6.227678571
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:31.779831image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.15
Q16
median7
Q37
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.293298598
Coefficient of variation (CV)0.2076694523
Kurtosis3.995375683
Mean6.227678571
Median Absolute Deviation (MAD)0
Skewness-2.01740202
Sum8370
Variance1.672621264
MonotonicityNot monotonic
2025-02-26T17:43:31.815804image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 845
42.7%
6 221
 
11.2%
5 144
 
7.3%
4 66
 
3.3%
3 28
 
1.4%
2 21
 
1.1%
1 19
 
1.0%
(Missing) 636
32.1%
ValueCountFrequency (%)
1 19
 
1.0%
2 21
 
1.1%
3 28
 
1.4%
4 66
3.3%
5 144
7.3%
ValueCountFrequency (%)
7 845
42.7%
6 221
 
11.2%
5 144
 
7.3%
4 66
 
3.3%
3 28
 
1.4%

w1_B02_18
Real number (ℝ)

Missing 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: MATURITY. To feel that your purpose in life has been fulfilled; to develop all your capacities.

Distinct7
Distinct (%)0.5%
Missing635
Missing (%)32.1%
Infinite0
Infinite (%)0.0%
Mean5.916728625
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:31.851339image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q15
median6
Q37
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.187319412
Coefficient of variation (CV)0.200671602
Kurtosis2.430739008
Mean5.916728625
Median Absolute Deviation (MAD)1
Skewness-1.398742093
Sum7958
Variance1.409727385
MonotonicityNot monotonic
2025-02-26T17:43:31.887569image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 517
26.1%
6 434
21.9%
5 254
 
12.8%
4 82
 
4.1%
3 33
 
1.7%
2 13
 
0.7%
1 12
 
0.6%
(Missing) 635
32.1%
ValueCountFrequency (%)
1 12
 
0.6%
2 13
 
0.7%
3 33
 
1.7%
4 82
 
4.1%
5 254
12.8%
ValueCountFrequency (%)
7 517
26.1%
6 434
21.9%
5 254
12.8%
4 82
 
4.1%
3 33
 
1.7%

w1_B02JLU_1
Unsupported

Missing  Rejected  Unsupported 

Missing1980
Missing (%)100.0%
Memory size17.5 KiB

w1_B02JLU_2
Unsupported

Missing  Rejected  Unsupported 

Missing1980
Missing (%)100.0%
Memory size17.5 KiB

w1_B02JLU_3
Unsupported

Missing  Rejected  Unsupported 

Missing1980
Missing (%)100.0%
Memory size17.5 KiB

w1_B02JLU_4
Unsupported

Missing  Rejected  Unsupported 

Missing1980
Missing (%)100.0%
Memory size17.5 KiB

w1_B02JLU_5
Unsupported

Missing  Rejected  Unsupported 

Missing1980
Missing (%)100.0%
Memory size17.5 KiB

w1_B02JLU_6
Unsupported

Missing  Rejected  Unsupported 

Missing1980
Missing (%)100.0%
Memory size17.5 KiB

w1_B02JLU_7
Unsupported

Missing  Rejected  Unsupported 

Missing1980
Missing (%)100.0%
Memory size17.5 KiB

w1_B02JLU_8
Unsupported

Missing  Rejected  Unsupported 

Missing1980
Missing (%)100.0%
Memory size17.5 KiB

w1_B02JLU_9
Unsupported

Missing  Rejected  Unsupported 

Missing1980
Missing (%)100.0%
Memory size17.5 KiB

w1_B02JLU_10
Unsupported

Missing  Rejected  Unsupported 

Missing1980
Missing (%)100.0%
Memory size17.5 KiB

w1_B02JLU_11
Unsupported

Missing  Rejected  Unsupported 

Missing1980
Missing (%)100.0%
Memory size17.5 KiB

w1_B02JLU_12
Unsupported

Missing  Rejected  Unsupported 

Missing1980
Missing (%)100.0%
Memory size17.5 KiB

w1_B02JLU_13
Unsupported

Missing  Rejected  Unsupported 

Missing1980
Missing (%)100.0%
Memory size17.5 KiB

w1_B02JLU_14
Unsupported

Missing  Rejected  Unsupported 

Missing1980
Missing (%)100.0%
Memory size17.5 KiB

w1_B02JLU_15
Unsupported

Missing  Rejected  Unsupported 

Missing1980
Missing (%)100.0%
Memory size17.5 KiB

w1_B02JLU_16
Unsupported

Missing  Rejected  Unsupported 

Missing1980
Missing (%)100.0%
Memory size17.5 KiB

w1_B02JLU_17
Unsupported

Missing  Rejected  Unsupported 

Missing1980
Missing (%)100.0%
Memory size17.5 KiB

w1_B02JLU_18
Unsupported

Missing  Rejected  Unsupported 

Missing1980
Missing (%)100.0%
Memory size17.5 KiB

w1_C01_1
Real number (ℝ)

Missing  Zeros 

How many of the courses/laboratories/credit seminars you are currently attending are provided ...? | Answer: Online live synchronous

Distinct20
Distinct (%)2.3%
Missing1119
Missing (%)56.5%
Infinite0
Infinite (%)0.0%
Mean2.041811847
Minimum0
Maximum35
Zeros220
Zeros (%)11.1%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:31.927817image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile4
Maximum35
Range35
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.903985788
Coefficient of variation (CV)1.422259251
Kurtosis57.87945459
Mean2.041811847
Median Absolute Deviation (MAD)1
Skewness6.356978049
Sum1758
Variance8.433133458
MonotonicityNot monotonic
2025-02-26T17:43:31.970695image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 220
 
11.1%
1 211
 
10.7%
2 144
 
7.3%
3 127
 
6.4%
4 125
 
6.3%
5 13
 
0.7%
6 5
 
0.3%
8 3
 
0.2%
25 2
 
0.1%
35 1
 
0.1%
Other values (10) 10
 
0.5%
(Missing) 1119
56.5%
ValueCountFrequency (%)
0 220
11.1%
1 211
10.7%
2 144
7.3%
3 127
6.4%
4 125
6.3%
ValueCountFrequency (%)
35 1
0.1%
34 1
0.1%
30 1
0.1%
25 2
0.1%
20 1
0.1%

w1_C01_2
Real number (ℝ)

Missing  Zeros 

How many of the courses/laboratories/credit seminars you are currently attending are provided ...? | Answer: Online recorded asynchronous

Distinct18
Distinct (%)2.3%
Missing1185
Missing (%)59.8%
Infinite0
Infinite (%)0.0%
Mean2.049056604
Minimum0
Maximum40
Zeros237
Zeros (%)12.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:32.012581image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q33
95-th percentile5
Maximum40
Range40
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.762898943
Coefficient of variation (CV)1.348376096
Kurtosis66.53624986
Mean2.049056604
Median Absolute Deviation (MAD)2
Skewness6.24704487
Sum1629
Variance7.63361057
MonotonicityNot monotonic
2025-02-26T17:43:32.057168image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 237
 
12.0%
1 148
 
7.5%
2 125
 
6.3%
4 122
 
6.2%
3 121
 
6.1%
5 22
 
1.1%
10 6
 
0.3%
6 3
 
0.2%
12 2
 
0.1%
18 1
 
0.1%
Other values (8) 8
 
0.4%
(Missing) 1185
59.8%
ValueCountFrequency (%)
0 237
12.0%
1 148
7.5%
2 125
6.3%
3 121
6.1%
4 122
6.2%
ValueCountFrequency (%)
40 1
0.1%
30 1
0.1%
25 1
0.1%
20 1
0.1%
18 1
0.1%

w1_C01_3
Real number (ℝ)

Missing  Zeros 

How many of the courses/laboratories/credit seminars you are currently attending are provided ...? | Answer: Partly synchronously and partly asynchronously

Distinct12
Distinct (%)1.3%
Missing1046
Missing (%)52.8%
Infinite0
Infinite (%)0.0%
Mean2.220556745
Minimum0
Maximum30
Zeros210
Zeros (%)10.6%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:32.097822image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q34
95-th percentile4
Maximum30
Range30
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.930897672
Coefficient of variation (CV)0.8695556537
Kurtosis45.7114422
Mean2.220556745
Median Absolute Deviation (MAD)1
Skewness3.548642165
Sum2074
Variance3.72836582
MonotonicityNot monotonic
2025-02-26T17:43:32.137090image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
4 217
 
11.0%
0 210
 
10.6%
3 177
 
8.9%
1 158
 
8.0%
2 135
 
6.8%
5 24
 
1.2%
8 5
 
0.3%
6 3
 
0.2%
10 2
 
0.1%
30 1
 
0.1%
Other values (2) 2
 
0.1%
(Missing) 1046
52.8%
ValueCountFrequency (%)
0 210
10.6%
1 158
8.0%
2 135
6.8%
3 177
8.9%
4 217
11.0%
ValueCountFrequency (%)
30 1
 
0.1%
12 1
 
0.1%
10 2
 
0.1%
8 5
0.3%
7 1
 
0.1%

w1_C01_4
Real number (ℝ)

Missing  Zeros 

How many of the courses/laboratories/credit seminars you are currently attending are provided ...? | Answer: In presence

Distinct12
Distinct (%)1.4%
Missing1119
Missing (%)56.5%
Infinite0
Infinite (%)0.0%
Mean2.175377468
Minimum0
Maximum60
Zeros239
Zeros (%)12.1%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:32.174853image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q34
95-th percentile4
Maximum60
Range60
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.789623214
Coefficient of variation (CV)1.282362834
Kurtosis225.6324642
Mean2.175377468
Median Absolute Deviation (MAD)2
Skewness11.68047056
Sum1873
Variance7.781997677
MonotonicityNot monotonic
2025-02-26T17:43:32.213522image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 239
 
12.1%
4 198
 
10.0%
3 162
 
8.2%
2 126
 
6.4%
1 111
 
5.6%
5 18
 
0.9%
10 2
 
0.1%
30 1
 
0.1%
6 1
 
0.1%
60 1
 
0.1%
Other values (2) 2
 
0.1%
(Missing) 1119
56.5%
ValueCountFrequency (%)
0 239
12.1%
1 111
5.6%
2 126
6.4%
3 162
8.2%
4 198
10.0%
ValueCountFrequency (%)
60 1
0.1%
30 1
0.1%
14 1
0.1%
12 1
0.1%
10 2
0.1%

w1_C02_1
Real number (ℝ)

Missing 

How often do you attend workshops or other academic activities? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.4%
Missing689
Missing (%)34.8%
Infinite0
Infinite (%)0.0%
Mean4.580945004
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:32.251116image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q14
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.843714217
Coefficient of variation (CV)0.1841790758
Kurtosis4.434901143
Mean4.580945004
Median Absolute Deviation (MAD)0
Skewness-2.202181715
Sum5914
Variance0.7118536799
MonotonicityNot monotonic
2025-02-26T17:43:32.291868image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 966
48.8%
4 181
 
9.1%
3 86
 
4.3%
2 44
 
2.2%
1 14
 
0.7%
(Missing) 689
34.8%
ValueCountFrequency (%)
1 14
 
0.7%
2 44
 
2.2%
3 86
 
4.3%
4 181
 
9.1%
5 966
48.8%
ValueCountFrequency (%)
5 966
48.8%
4 181
 
9.1%
3 86
 
4.3%
2 44
 
2.2%
1 14
 
0.7%

w1_C02_2
Real number (ℝ)

Missing 

How often do you take notes in class? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.4%
Missing687
Missing (%)34.7%
Infinite0
Infinite (%)0.0%
Mean4.367362722
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:32.331546image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.013264468
Coefficient of variation (CV)0.2320083153
Kurtosis1.48294153
Mean4.367362722
Median Absolute Deviation (MAD)0
Skewness-1.543217126
Sum5647
Variance1.026704881
MonotonicityNot monotonic
2025-02-26T17:43:32.371169image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 843
42.6%
4 202
 
10.2%
3 153
 
7.7%
2 70
 
3.5%
1 25
 
1.3%
(Missing) 687
34.7%
ValueCountFrequency (%)
1 25
 
1.3%
2 70
 
3.5%
3 153
 
7.7%
4 202
 
10.2%
5 843
42.6%
ValueCountFrequency (%)
5 843
42.6%
4 202
 
10.2%
3 153
 
7.7%
2 70
 
3.5%
1 25
 
1.3%

w1_C02_3
Real number (ℝ)

Missing 

How often do you review and arrange notes at the end of the lecture? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.4%
Missing695
Missing (%)35.1%
Infinite0
Infinite (%)0.0%
Mean3.144747082
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:32.411665image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.353165506
Coefficient of variation (CV)0.4302939063
Kurtosis-1.20491123
Mean3.144747082
Median Absolute Deviation (MAD)1
Skewness-0.02607684
Sum4041
Variance1.831056887
MonotonicityNot monotonic
2025-02-26T17:43:32.452820image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 305
15.4%
5 296
14.9%
2 290
14.6%
4 224
 
11.3%
1 170
 
8.6%
(Missing) 695
35.1%
ValueCountFrequency (%)
1 170
8.6%
2 290
14.6%
3 305
15.4%
4 224
11.3%
5 296
14.9%
ValueCountFrequency (%)
5 296
14.9%
4 224
11.3%
3 305
15.4%
2 290
14.6%
1 170
8.6%

w1_C02_4
Real number (ℝ)

Missing 

How often do you audio record the lecture? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.4%
Missing694
Missing (%)35.1%
Infinite0
Infinite (%)0.0%
Mean1.745723173
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:32.493666image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.269777847
Coefficient of variation (CV)0.7273649492
Kurtosis1.13359176
Mean1.745723173
Median Absolute Deviation (MAD)0
Skewness1.577117568
Sum2245
Variance1.61233578
MonotonicityNot monotonic
2025-02-26T17:43:32.533188image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 866
43.7%
2 153
 
7.7%
5 103
 
5.2%
3 98
 
4.9%
4 66
 
3.3%
(Missing) 694
35.1%
ValueCountFrequency (%)
1 866
43.7%
2 153
 
7.7%
3 98
 
4.9%
4 66
 
3.3%
5 103
 
5.2%
ValueCountFrequency (%)
5 103
 
5.2%
4 66
 
3.3%
3 98
 
4.9%
2 153
 
7.7%
1 866
43.7%

w1_C02_5
Real number (ℝ)

Missing 

How often do you study and review notes regularly during the class week? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.4%
Missing693
Missing (%)35.0%
Infinite0
Infinite (%)0.0%
Mean3.389277389
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:32.572317image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.26317998
Coefficient of variation (CV)0.3726989073
Kurtosis-1.007845944
Mean3.389277389
Median Absolute Deviation (MAD)1
Skewness-0.2400630771
Sum4362
Variance1.595623661
MonotonicityNot monotonic
2025-02-26T17:43:32.614742image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 339
17.1%
5 329
16.6%
4 283
14.3%
2 232
 
11.7%
1 104
 
5.3%
(Missing) 693
35.0%
ValueCountFrequency (%)
1 104
 
5.3%
2 232
11.7%
3 339
17.1%
4 283
14.3%
5 329
16.6%
ValueCountFrequency (%)
5 329
16.6%
4 283
14.3%
3 339
17.1%
2 232
11.7%
1 104
 
5.3%

w1_C02_6
Real number (ℝ)

Missing 

How often do you schematize or summarize books or notes related to a course? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.4%
Missing692
Missing (%)34.9%
Infinite0
Infinite (%)0.0%
Mean3.568322981
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:32.655240image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.263309124
Coefficient of variation (CV)0.3540344108
Kurtosis-0.82214294
Mean3.568322981
Median Absolute Deviation (MAD)1
Skewness-0.5096566764
Sum4596
Variance1.595949944
MonotonicityNot monotonic
2025-02-26T17:43:32.695458image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 381
19.2%
4 358
18.1%
3 261
 
13.2%
2 188
 
9.5%
1 100
 
5.1%
(Missing) 692
34.9%
ValueCountFrequency (%)
1 100
 
5.1%
2 188
9.5%
3 261
13.2%
4 358
18.1%
5 381
19.2%
ValueCountFrequency (%)
5 381
19.2%
4 358
18.1%
3 261
13.2%
2 188
9.5%
1 100
 
5.1%

w1_C02_7
Real number (ℝ)

Missing 

How often do you take part in the activities organized by the course? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.4%
Missing694
Missing (%)35.1%
Infinite0
Infinite (%)0.0%
Mean3.441679627
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:32.734572image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.196338764
Coefficient of variation (CV)0.3476031744
Kurtosis-0.8178351586
Mean3.441679627
Median Absolute Deviation (MAD)1
Skewness-0.344009823
Sum4426
Variance1.431226437
MonotonicityNot monotonic
2025-02-26T17:43:32.776660image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 373
18.8%
3 324
16.4%
5 290
14.6%
2 213
 
10.8%
1 86
 
4.3%
(Missing) 694
35.1%
ValueCountFrequency (%)
1 86
 
4.3%
2 213
10.8%
3 324
16.4%
4 373
18.8%
5 290
14.6%
ValueCountFrequency (%)
5 290
14.6%
4 373
18.8%
3 324
16.4%
2 213
10.8%
1 86
 
4.3%

w1_C02_8
Real number (ℝ)

Missing 

How often do you use specialized websites (e.g., statistics, philosophy, physics…)? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.4%
Missing689
Missing (%)34.8%
Infinite0
Infinite (%)0.0%
Mean3.071262587
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:32.817570image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.326370534
Coefficient of variation (CV)0.4318649076
Kurtosis-1.130156274
Mean3.071262587
Median Absolute Deviation (MAD)1
Skewness-0.07907159367
Sum3965
Variance1.759258792
MonotonicityNot monotonic
2025-02-26T17:43:32.858390image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 311
15.7%
4 294
14.8%
2 254
 
12.8%
5 229
 
11.6%
1 203
 
10.3%
(Missing) 689
34.8%
ValueCountFrequency (%)
1 203
10.3%
2 254
12.8%
3 311
15.7%
4 294
14.8%
5 229
11.6%
ValueCountFrequency (%)
5 229
11.6%
4 294
14.8%
3 311
15.7%
2 254
12.8%
1 203
10.3%

w1_C02_9
Real number (ℝ)

Missing 

How often do you use question & answer sites (e.g., Quora, Stack Overflow, Answers.com)? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.4%
Missing688
Missing (%)34.7%
Infinite0
Infinite (%)0.0%
Mean2.53250774
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:32.899149image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.35994335
Coefficient of variation (CV)0.5369947456
Kurtosis-1.055531988
Mean2.53250774
Median Absolute Deviation (MAD)1
Skewness0.4301654977
Sum3272
Variance1.849445914
MonotonicityNot monotonic
2025-02-26T17:43:32.939354image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 394
19.9%
2 308
15.6%
3 245
 
12.4%
4 198
 
10.0%
5 147
 
7.4%
(Missing) 688
34.7%
ValueCountFrequency (%)
1 394
19.9%
2 308
15.6%
3 245
12.4%
4 198
10.0%
5 147
 
7.4%
ValueCountFrequency (%)
5 147
 
7.4%
4 198
10.0%
3 245
12.4%
2 308
15.6%
1 394
19.9%

w1_C02_10
Real number (ℝ)

Missing 

How often do you use university websites/platform tools for learning (e.g., Moodle, etc.)? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.4%
Missing688
Missing (%)34.7%
Infinite0
Infinite (%)0.0%
Mean4.697368421
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:32.979341image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6978283524
Coefficient of variation (CV)0.1485572963
Kurtosis8.43878599
Mean4.697368421
Median Absolute Deviation (MAD)0
Skewness-2.781626023
Sum6069
Variance0.4869644095
MonotonicityNot monotonic
2025-02-26T17:43:33.085018image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 1028
51.9%
4 178
 
9.0%
3 55
 
2.8%
2 21
 
1.1%
1 10
 
0.5%
(Missing) 688
34.7%
ValueCountFrequency (%)
1 10
 
0.5%
2 21
 
1.1%
3 55
 
2.8%
4 178
 
9.0%
5 1028
51.9%
ValueCountFrequency (%)
5 1028
51.9%
4 178
 
9.0%
3 55
 
2.8%
2 21
 
1.1%
1 10
 
0.5%

w1_C02_11
Real number (ℝ)

Missing 

How often do you use commercial education platforms (e.g., Coursera, Udemy, Datacamp)? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.4%
Missing693
Missing (%)35.0%
Infinite0
Infinite (%)0.0%
Mean2.170940171
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:33.124638image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.255282202
Coefficient of variation (CV)0.5782205421
Kurtosis-0.5750403436
Mean2.170940171
Median Absolute Deviation (MAD)1
Skewness0.7545629533
Sum2794
Variance1.575733408
MonotonicityNot monotonic
2025-02-26T17:43:33.165221image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 542
27.4%
2 286
14.4%
3 233
 
11.8%
4 149
 
7.5%
5 77
 
3.9%
(Missing) 693
35.0%
ValueCountFrequency (%)
1 542
27.4%
2 286
14.4%
3 233
11.8%
4 149
 
7.5%
5 77
 
3.9%
ValueCountFrequency (%)
5 77
 
3.9%
4 149
 
7.5%
3 233
11.8%
2 286
14.4%
1 542
27.4%

w1_C02_12
Unsupported

Missing  Rejected  Unsupported 

How often do you use virtual labs and Amrita University Management Systems? (1 “never” – 6 “very often”)

Missing1980
Missing (%)100.0%
Memory size17.5 KiB

w1_D01
Real number (ℝ)

Missing  Zeros 

About how many university students can you contact for help in studying?

Distinct23
Distinct (%)1.9%
Missing744
Missing (%)37.6%
Infinite0
Infinite (%)0.0%
Mean6.327669903
Minimum0
Maximum300
Zeros50
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:33.207028image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median5
Q37
95-th percentile15
Maximum300
Range300
Interquartile range (IQR)4

Descriptive statistics

Standard deviation11.05511748
Coefficient of variation (CV)1.747107173
Kurtosis416.1710357
Mean6.327669903
Median Absolute Deviation (MAD)2
Skewness17.09136725
Sum7821
Variance122.2156224
MonotonicityNot monotonic
2025-02-26T17:43:33.250137image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
5 282
 
14.2%
3 217
 
11.0%
10 156
 
7.9%
2 145
 
7.3%
4 120
 
6.1%
0 50
 
2.5%
6 49
 
2.5%
1 49
 
2.5%
20 34
 
1.7%
8 33
 
1.7%
Other values (13) 101
 
5.1%
(Missing) 744
37.6%
ValueCountFrequency (%)
0 50
 
2.5%
1 49
 
2.5%
2 145
7.3%
3 217
11.0%
4 120
6.1%
ValueCountFrequency (%)
300 1
 
0.1%
100 3
0.2%
66 1
 
0.1%
50 1
 
0.1%
40 2
0.1%

w1_D02
Real number (ℝ)

Missing 

Are you in an informal study group(s) (beside the one you are in for the lab/class project)? 1) Yes 2) No [go to E01]

Distinct2
Distinct (%)0.2%
Missing673
Missing (%)34.0%
Infinite0
Infinite (%)0.0%
Mean1.642693191
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:33.289964image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4793897026
Coefficient of variation (CV)0.2918315516
Kurtosis-1.647039353
Mean1.642693191
Median Absolute Deviation (MAD)0
Skewness-0.5962242268
Sum2147
Variance0.229814487
MonotonicityNot monotonic
2025-02-26T17:43:33.338759image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 840
42.4%
1 467
23.6%
(Missing) 673
34.0%
ValueCountFrequency (%)
1 467
23.6%
2 840
42.4%
ValueCountFrequency (%)
2 840
42.4%
1 467
23.6%

w1_D03
Real number (ℝ)

Missing 

How many informal study groups do you participate in?

Distinct10
Distinct (%)2.2%
Missing1522
Missing (%)76.9%
Infinite0
Infinite (%)0.0%
Mean1.831877729
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:33.378512image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum12
Range11
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.314832556
Coefficient of variation (CV)0.7177512642
Kurtosis19.26002233
Mean1.831877729
Median Absolute Deviation (MAD)0
Skewness3.521046302
Sum839
Variance1.72878465
MonotonicityNot monotonic
2025-02-26T17:43:33.419823image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1 239
 
12.1%
2 128
 
6.5%
3 63
 
3.2%
4 13
 
0.7%
5 8
 
0.4%
6 2
 
0.1%
10 2
 
0.1%
8 1
 
0.1%
12 1
 
0.1%
11 1
 
0.1%
(Missing) 1522
76.9%
ValueCountFrequency (%)
1 239
12.1%
2 128
6.5%
3 63
 
3.2%
4 13
 
0.7%
5 8
 
0.4%
ValueCountFrequency (%)
12 1
0.1%
11 1
0.1%
10 2
0.1%
8 1
0.1%
6 2
0.1%

w1_D04
Real number (ℝ)

Missing 

About how many people are in the informal study group? If you have more than one, think about the one you meet most often

Distinct26
Distinct (%)5.8%
Missing1528
Missing (%)77.2%
Infinite0
Infinite (%)0.0%
Mean9.064159292
Minimum1
Maximum810
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:33.538643image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median5
Q36
95-th percentile16.45
Maximum810
Range809
Interquartile range (IQR)3

Descriptive statistics

Standard deviation40.72059192
Coefficient of variation (CV)4.492484146
Kurtosis334.9874643
Mean9.064159292
Median Absolute Deviation (MAD)2
Skewness17.38030117
Sum4097
Variance1658.166606
MonotonicityNot monotonic
2025-02-26T17:43:33.586674image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
3 96
 
4.8%
5 85
 
4.3%
4 72
 
3.6%
6 50
 
2.5%
2 37
 
1.9%
10 27
 
1.4%
1 15
 
0.8%
8 15
 
0.8%
7 11
 
0.6%
20 8
 
0.4%
Other values (16) 36
 
1.8%
(Missing) 1528
77.2%
ValueCountFrequency (%)
1 15
 
0.8%
2 37
 
1.9%
3 96
4.8%
4 72
3.6%
5 85
4.3%
ValueCountFrequency (%)
810 1
 
0.1%
200 1
 
0.1%
160 1
 
0.1%
100 3
0.2%
70 1
 
0.1%

w1_D05
Real number (ℝ)

Missing 

How often do you meet? If you meet more than one, think about the one you meet most often.1. Less than once a week2. Once a week3. Twice a week 4. Three days a week 5. Four days a week6. Five or more days a week

Distinct6
Distinct (%)1.3%
Missing1523
Missing (%)76.9%
Infinite0
Infinite (%)0.0%
Mean2.019693654
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:33.630168image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile4
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.05425491
Coefficient of variation (CV)0.5219875339
Kurtosis3.805788591
Mean2.019693654
Median Absolute Deviation (MAD)1
Skewness1.697525362
Sum923
Variance1.111453415
MonotonicityNot monotonic
2025-02-26T17:43:33.669011image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 220
 
11.1%
1 146
 
7.4%
3 54
 
2.7%
4 22
 
1.1%
6 12
 
0.6%
5 3
 
0.2%
(Missing) 1523
76.9%
ValueCountFrequency (%)
1 146
7.4%
2 220
11.1%
3 54
 
2.7%
4 22
 
1.1%
5 3
 
0.2%
ValueCountFrequency (%)
6 12
 
0.6%
5 3
 
0.2%
4 22
 
1.1%
3 54
 
2.7%
2 220
11.1%

w1_E01_1
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Twitter - Weibo

Distinct6
Distinct (%)0.5%
Missing727
Missing (%)36.7%
Infinite0
Infinite (%)0.0%
Mean2.73264166
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:33.705243image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.801985716
Coefficient of variation (CV)0.6594299364
Kurtosis-0.9484991958
Mean2.73264166
Median Absolute Deviation (MAD)1
Skewness0.701888951
Sum3424
Variance3.247152521
MonotonicityNot monotonic
2025-02-26T17:43:33.742564image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 439
22.2%
2 302
15.3%
6 177
 
8.9%
4 124
 
6.3%
3 116
 
5.9%
5 95
 
4.8%
(Missing) 727
36.7%
ValueCountFrequency (%)
1 439
22.2%
2 302
15.3%
3 116
 
5.9%
4 124
 
6.3%
5 95
 
4.8%
ValueCountFrequency (%)
6 177
8.9%
5 95
 
4.8%
4 124
6.3%
3 116
 
5.9%
2 302
15.3%

w1_E01_2
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Facebook

Distinct6
Distinct (%)0.5%
Missing724
Missing (%)36.6%
Infinite0
Infinite (%)0.0%
Mean3.452229299
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:33.779276image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.576504216
Coefficient of variation (CV)0.4566626605
Kurtosis-1.123657654
Mean3.452229299
Median Absolute Deviation (MAD)1
Skewness0.1919028496
Sum4336
Variance2.485365544
MonotonicityNot monotonic
2025-02-26T17:43:33.817727image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 311
15.7%
3 245
 
12.4%
4 215
 
10.9%
6 182
 
9.2%
5 181
 
9.1%
1 122
 
6.2%
(Missing) 724
36.6%
ValueCountFrequency (%)
1 122
 
6.2%
2 311
15.7%
3 245
12.4%
4 215
10.9%
5 181
9.1%
ValueCountFrequency (%)
6 182
9.2%
5 181
9.1%
4 215
10.9%
3 245
12.4%
2 311
15.7%

w1_E01_3
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : LinkedIn

Distinct6
Distinct (%)0.5%
Missing725
Missing (%)36.6%
Infinite0
Infinite (%)0.0%
Mean3.668525896
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:33.855752image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.619780729
Coefficient of variation (CV)0.4415344951
Kurtosis-1.041085885
Mean3.668525896
Median Absolute Deviation (MAD)1
Skewness-0.262093521
Sum4604
Variance2.623689612
MonotonicityNot monotonic
2025-02-26T17:43:33.894241image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
4 291
14.7%
5 261
 
13.2%
3 200
 
10.1%
1 191
 
9.6%
6 180
 
9.1%
2 132
 
6.7%
(Missing) 725
36.6%
ValueCountFrequency (%)
1 191
9.6%
2 132
6.7%
3 200
10.1%
4 291
14.7%
5 261
13.2%
ValueCountFrequency (%)
6 180
9.1%
5 261
13.2%
4 291
14.7%
3 200
10.1%
2 132
6.7%

w1_E01_4
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : YouTube

Distinct6
Distinct (%)0.5%
Missing728
Missing (%)36.8%
Infinite0
Infinite (%)0.0%
Mean3.106230032
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:33.931389image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median3
Q34
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.240429841
Coefficient of variation (CV)0.3993361176
Kurtosis-0.5455880164
Mean3.106230032
Median Absolute Deviation (MAD)1
Skewness0.5101242715
Sum3889
Variance1.538666192
MonotonicityNot monotonic
2025-02-26T17:43:33.969713image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 457
23.1%
4 289
 
14.6%
3 274
 
13.8%
5 125
 
6.3%
1 54
 
2.7%
6 53
 
2.7%
(Missing) 728
36.8%
ValueCountFrequency (%)
1 54
 
2.7%
2 457
23.1%
3 274
13.8%
4 289
14.6%
5 125
 
6.3%
ValueCountFrequency (%)
6 53
 
2.7%
5 125
 
6.3%
4 289
14.6%
3 274
13.8%
2 457
23.1%

w1_E01_5
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Instagram

Distinct6
Distinct (%)0.5%
Missing725
Missing (%)36.6%
Infinite0
Infinite (%)0.0%
Mean2.543426295
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:34.005574image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.243606702
Coefficient of variation (CV)0.4889493769
Kurtosis1.062491882
Mean2.543426295
Median Absolute Deviation (MAD)0
Skewness1.306012956
Sum3192
Variance1.546557629
MonotonicityNot monotonic
2025-02-26T17:43:34.045438image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 720
36.4%
3 145
 
7.3%
1 142
 
7.2%
4 123
 
6.2%
5 67
 
3.4%
6 58
 
2.9%
(Missing) 725
36.6%
ValueCountFrequency (%)
1 142
 
7.2%
2 720
36.4%
3 145
 
7.3%
4 123
 
6.2%
5 67
 
3.4%
ValueCountFrequency (%)
6 58
 
2.9%
5 67
 
3.4%
4 123
 
6.2%
3 145
 
7.3%
2 720
36.4%

w1_E01_6
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Telegram

Distinct6
Distinct (%)0.5%
Missing726
Missing (%)36.7%
Infinite0
Infinite (%)0.0%
Mean2.562200957
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:34.082550image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.141940168
Coefficient of variation (CV)0.8359766481
Kurtosis-1.238666863
Mean2.562200957
Median Absolute Deviation (MAD)0
Skewness0.7859753325
Sum3213
Variance4.587907682
MonotonicityNot monotonic
2025-02-26T17:43:34.120642image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 766
38.7%
6 278
 
14.0%
5 80
 
4.0%
2 57
 
2.9%
4 46
 
2.3%
3 27
 
1.4%
(Missing) 726
36.7%
ValueCountFrequency (%)
1 766
38.7%
2 57
 
2.9%
3 27
 
1.4%
4 46
 
2.3%
5 80
 
4.0%
ValueCountFrequency (%)
6 278
14.0%
5 80
 
4.0%
4 46
 
2.3%
3 27
 
1.4%
2 57
 
2.9%

w1_E01_7
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Pinterest

Distinct6
Distinct (%)0.5%
Missing728
Missing (%)36.8%
Infinite0
Infinite (%)0.0%
Mean3.091054313
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:34.156400image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.263889505
Coefficient of variation (CV)0.732400429
Kurtosis-1.797716506
Mean3.091054313
Median Absolute Deviation (MAD)0
Skewness0.2645345614
Sum3870
Variance5.12519569
MonotonicityNot monotonic
2025-02-26T17:43:34.194877image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 643
32.5%
6 353
17.8%
5 143
 
7.2%
4 78
 
3.9%
2 23
 
1.2%
3 12
 
0.6%
(Missing) 728
36.8%
ValueCountFrequency (%)
1 643
32.5%
2 23
 
1.2%
3 12
 
0.6%
4 78
 
3.9%
5 143
 
7.2%
ValueCountFrequency (%)
6 353
17.8%
5 143
7.2%
4 78
 
3.9%
3 12
 
0.6%
2 23
 
1.2%

w1_E01_8
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Reddit

Distinct6
Distinct (%)0.5%
Missing731
Missing (%)36.9%
Infinite0
Infinite (%)0.0%
Mean2.592473979
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:34.232226image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.0992156
Coefficient of variation (CV)0.8097344917
Kurtosis-1.304486776
Mean2.592473979
Median Absolute Deviation (MAD)0
Skewness0.7193279414
Sum3238
Variance4.406706134
MonotonicityNot monotonic
2025-02-26T17:43:34.271272image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 739
37.3%
6 235
 
11.9%
5 131
 
6.6%
4 57
 
2.9%
2 55
 
2.8%
3 32
 
1.6%
(Missing) 731
36.9%
ValueCountFrequency (%)
1 739
37.3%
2 55
 
2.8%
3 32
 
1.6%
4 57
 
2.9%
5 131
 
6.6%
ValueCountFrequency (%)
6 235
11.9%
5 131
6.6%
4 57
 
2.9%
3 32
 
1.6%
2 55
 
2.8%

w1_E01_9
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Flickr

Distinct5
Distinct (%)0.4%
Missing730
Missing (%)36.9%
Infinite0
Infinite (%)0.0%
Mean2.1144
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:34.308882image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.062017015
Coefficient of variation (CV)0.9752256031
Kurtosis-0.2261215264
Mean2.1144
Median Absolute Deviation (MAD)0
Skewness1.324098604
Sum2643
Variance4.251914171
MonotonicityNot monotonic
2025-02-26T17:43:34.346297image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 965
48.7%
6 263
 
13.3%
5 14
 
0.7%
4 7
 
0.4%
2 1
 
0.1%
(Missing) 730
36.9%
ValueCountFrequency (%)
1 965
48.7%
2 1
 
0.1%
4 7
 
0.4%
5 14
 
0.7%
6 263
 
13.3%
ValueCountFrequency (%)
6 263
 
13.3%
5 14
 
0.7%
4 7
 
0.4%
2 1
 
0.1%
1 965
48.7%

w1_E01_10
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Facebook messenger

Distinct6
Distinct (%)0.5%
Missing728
Missing (%)36.8%
Infinite0
Infinite (%)0.0%
Mean3.345846645
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:34.382271image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.761850002
Coefficient of variation (CV)0.5265782293
Kurtosis-1.367944553
Mean3.345846645
Median Absolute Deviation (MAD)1
Skewness0.1836078877
Sum4189
Variance3.10411543
MonotonicityNot monotonic
2025-02-26T17:43:34.421534image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 320
16.2%
1 219
 
11.1%
6 213
 
10.8%
4 184
 
9.3%
5 184
 
9.3%
3 132
 
6.7%
(Missing) 728
36.8%
ValueCountFrequency (%)
1 219
11.1%
2 320
16.2%
3 132
6.7%
4 184
9.3%
5 184
9.3%
ValueCountFrequency (%)
6 213
10.8%
5 184
9.3%
4 184
9.3%
3 132
6.7%
2 320
16.2%

w1_E01_11
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : WhatsApp

Distinct6
Distinct (%)0.5%
Missing725
Missing (%)36.6%
Infinite0
Infinite (%)0.0%
Mean2.364143426
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:34.458432image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile4
Maximum6
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8833866498
Coefficient of variation (CV)0.3736603456
Kurtosis5.382413484
Mean2.364143426
Median Absolute Deviation (MAD)0
Skewness2.265532345
Sum2967
Variance0.780371973
MonotonicityNot monotonic
2025-02-26T17:43:34.496534image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 940
47.5%
3 153
 
7.7%
4 74
 
3.7%
1 33
 
1.7%
5 31
 
1.6%
6 24
 
1.2%
(Missing) 725
36.6%
ValueCountFrequency (%)
1 33
 
1.7%
2 940
47.5%
3 153
 
7.7%
4 74
 
3.7%
5 31
 
1.6%
ValueCountFrequency (%)
6 24
 
1.2%
5 31
 
1.6%
4 74
 
3.7%
3 153
 
7.7%
2 940
47.5%

w1_E01_12
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Google hangouts

Distinct6
Distinct (%)0.5%
Missing732
Missing (%)37.0%
Infinite0
Infinite (%)0.0%
Mean3.169070513
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:34.532325image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.339871984
Coefficient of variation (CV)0.7383464565
Kurtosis-1.8516914
Mean3.169070513
Median Absolute Deviation (MAD)0
Skewness0.2392600181
Sum3955
Variance5.4750009
MonotonicityNot monotonic
2025-02-26T17:43:34.571277image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 639
32.3%
6 433
21.9%
5 86
 
4.3%
4 42
 
2.1%
2 24
 
1.2%
3 24
 
1.2%
(Missing) 732
37.0%
ValueCountFrequency (%)
1 639
32.3%
2 24
 
1.2%
3 24
 
1.2%
4 42
 
2.1%
5 86
 
4.3%
ValueCountFrequency (%)
6 433
21.9%
5 86
 
4.3%
4 42
 
2.1%
3 24
 
1.2%
2 24
 
1.2%

w1_E01_13
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Skype

Distinct6
Distinct (%)0.5%
Missing729
Missing (%)36.8%
Infinite0
Infinite (%)0.0%
Mean4.318944844
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:34.608512image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.000748062
Coefficient of variation (CV)0.4632492735
Kurtosis-0.9889842216
Mean4.318944844
Median Absolute Deviation (MAD)1
Skewness-0.8315315537
Sum5403
Variance4.002992806
MonotonicityNot monotonic
2025-02-26T17:43:34.646444image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6 534
27.0%
1 291
 
14.7%
5 273
 
13.8%
4 101
 
5.1%
3 35
 
1.8%
2 17
 
0.9%
(Missing) 729
36.8%
ValueCountFrequency (%)
1 291
14.7%
2 17
 
0.9%
3 35
 
1.8%
4 101
 
5.1%
5 273
13.8%
ValueCountFrequency (%)
6 534
27.0%
5 273
13.8%
4 101
 
5.1%
3 35
 
1.8%
2 17
 
0.9%

w1_E01_14
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Zoom

Distinct6
Distinct (%)0.5%
Missing724
Missing (%)36.6%
Infinite0
Infinite (%)0.0%
Mean3.051751592
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:34.683586image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median3
Q34
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.040853215
Coefficient of variation (CV)0.3410674767
Kurtosis-0.2195104938
Mean3.051751592
Median Absolute Deviation (MAD)1
Skewness0.4188011228
Sum3833
Variance1.083375416
MonotonicityNot monotonic
2025-02-26T17:43:34.720793image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 429
21.7%
4 383
19.3%
3 340
17.2%
5 46
 
2.3%
1 31
 
1.6%
6 27
 
1.4%
(Missing) 724
36.6%
ValueCountFrequency (%)
1 31
 
1.6%
2 429
21.7%
3 340
17.2%
4 383
19.3%
5 46
 
2.3%
ValueCountFrequency (%)
6 27
 
1.4%
5 46
 
2.3%
4 383
19.3%
3 340
17.2%
2 429
21.7%

w1_E01_15
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Snapchat

Distinct6
Distinct (%)0.5%
Missing730
Missing (%)36.9%
Infinite0
Infinite (%)0.0%
Mean2.896
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:34.756512image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.031473728
Coefficient of variation (CV)0.7014757349
Kurtosis-1.346764421
Mean2.896
Median Absolute Deviation (MAD)1
Skewness0.5754115651
Sum3620
Variance4.126885508
MonotonicityNot monotonic
2025-02-26T17:43:34.795196image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 487
24.6%
6 294
14.8%
2 239
 
12.1%
3 96
 
4.8%
5 67
 
3.4%
4 67
 
3.4%
(Missing) 730
36.9%
ValueCountFrequency (%)
1 487
24.6%
2 239
12.1%
3 96
 
4.8%
4 67
 
3.4%
5 67
 
3.4%
ValueCountFrequency (%)
6 294
14.8%
5 67
 
3.4%
4 67
 
3.4%
3 96
 
4.8%
2 239
12.1%

w1_E01_16
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Tinder

Distinct6
Distinct (%)0.5%
Missing726
Missing (%)36.7%
Infinite0
Infinite (%)0.0%
Mean2.302232855
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:34.831366image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q34
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.065653017
Coefficient of variation (CV)0.8972389618
Kurtosis-0.7209541893
Mean2.302232855
Median Absolute Deviation (MAD)0
Skewness1.071688027
Sum2887
Variance4.266922385
MonotonicityNot monotonic
2025-02-26T17:43:34.869942image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 865
43.7%
6 249
 
12.6%
5 48
 
2.4%
4 38
 
1.9%
3 28
 
1.4%
2 26
 
1.3%
(Missing) 726
36.7%
ValueCountFrequency (%)
1 865
43.7%
2 26
 
1.3%
3 28
 
1.4%
4 38
 
1.9%
5 48
 
2.4%
ValueCountFrequency (%)
6 249
12.6%
5 48
 
2.4%
4 38
 
1.9%
3 28
 
1.4%
2 26
 
1.3%

w1_E01_17
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : WeChat

Distinct6
Distinct (%)0.5%
Missing729
Missing (%)36.8%
Infinite0
Infinite (%)0.0%
Mean2.083932854
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:34.905835image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.843081561
Coefficient of variation (CV)0.8844246386
Kurtosis0.4479824404
Mean2.083932854
Median Absolute Deviation (MAD)0
Skewness1.479105609
Sum2607
Variance3.39694964
MonotonicityNot monotonic
2025-02-26T17:43:34.944123image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 804
40.6%
6 199
 
10.1%
2 192
 
9.7%
5 20
 
1.0%
3 19
 
1.0%
4 17
 
0.9%
(Missing) 729
36.8%
ValueCountFrequency (%)
1 804
40.6%
2 192
 
9.7%
3 19
 
1.0%
4 17
 
0.9%
5 20
 
1.0%
ValueCountFrequency (%)
6 199
10.1%
5 20
 
1.0%
4 17
 
0.9%
3 19
 
1.0%
2 192
9.7%

w1_E01_18
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Viber

Distinct6
Distinct (%)0.5%
Missing727
Missing (%)36.7%
Infinite0
Infinite (%)0.0%
Mean2.193136472
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:34.980306image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.078195982
Coefficient of variation (CV)0.9475908173
Kurtosis-0.458720061
Mean2.193136472
Median Absolute Deviation (MAD)0
Skewness1.219133042
Sum2748
Variance4.318898541
MonotonicityNot monotonic
2025-02-26T17:43:35.017531image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 928
46.9%
6 265
 
13.4%
5 25
 
1.3%
2 13
 
0.7%
4 13
 
0.7%
3 9
 
0.5%
(Missing) 727
36.7%
ValueCountFrequency (%)
1 928
46.9%
2 13
 
0.7%
3 9
 
0.5%
4 13
 
0.7%
5 25
 
1.3%
ValueCountFrequency (%)
6 265
13.4%
5 25
 
1.3%
4 13
 
0.7%
3 9
 
0.5%
2 13
 
0.7%

w1_E01_19
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : TikTok

Distinct6
Distinct (%)0.5%
Missing727
Missing (%)36.7%
Infinite0
Infinite (%)0.0%
Mean2.308060654
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:35.054030image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q34
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.918692435
Coefficient of variation (CV)0.8313006989
Kurtosis-0.4785038583
Mean2.308060654
Median Absolute Deviation (MAD)0
Skewness1.101754718
Sum2892
Variance3.681380661
MonotonicityNot monotonic
2025-02-26T17:43:35.093063image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 752
38.0%
6 201
 
10.2%
2 129
 
6.5%
4 63
 
3.2%
3 58
 
2.9%
5 50
 
2.5%
(Missing) 727
36.7%
ValueCountFrequency (%)
1 752
38.0%
2 129
 
6.5%
3 58
 
2.9%
4 63
 
3.2%
5 50
 
2.5%
ValueCountFrequency (%)
6 201
10.2%
5 50
 
2.5%
4 63
 
3.2%
3 58
 
2.9%
2 129
6.5%

w1_E01JLU_1
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Weibo(微博)

Missing1980
Missing (%)100.0%
Memory size17.5 KiB

w1_E01JLU_2
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: LinkedIn

Missing1980
Missing (%)100.0%
Memory size17.5 KiB

w1_E01JLU_3
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Bilibili

Missing1980
Missing (%)100.0%
Memory size17.5 KiB

w1_E01JLU_4
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Acfun

Missing1980
Missing (%)100.0%
Memory size17.5 KiB

w1_E01JLU_5
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: lvzhou(绿洲)

Missing1980
Missing (%)100.0%
Memory size17.5 KiB

w1_E01JLU_6
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Telegram

Missing1980
Missing (%)100.0%
Memory size17.5 KiB

w1_E01JLU_7
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Pinterest

Missing1980
Missing (%)100.0%
Memory size17.5 KiB

w1_E01JLU_8
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Huaban(花瓣)

Missing1980
Missing (%)100.0%
Memory size17.5 KiB

w1_E01JLU_9
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Xiaohongshu(小红书)

Missing1980
Missing (%)100.0%
Memory size17.5 KiB

w1_E01JLU_10
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Reddit

Missing1980
Missing (%)100.0%
Memory size17.5 KiB

w1_E01JLU_11
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Tieba(贴吧)

Missing1980
Missing (%)100.0%
Memory size17.5 KiB

w1_E01JLU_12
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Douban(豆瓣小组)

Missing1980
Missing (%)100.0%
Memory size17.5 KiB

w1_E01JLU_13
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Skype

Missing1980
Missing (%)100.0%
Memory size17.5 KiB

w1_E01JLU_14
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Zoom

Missing1980
Missing (%)100.0%
Memory size17.5 KiB

w1_E01JLU_15
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Tencent Meeting(腾讯会议)

Missing1980
Missing (%)100.0%
Memory size17.5 KiB

w1_E01JLU_16
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: DingDing(钉钉)

Missing1980
Missing (%)100.0%
Memory size17.5 KiB

w1_E01JLU_17
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Tinder

Missing1980
Missing (%)100.0%
Memory size17.5 KiB

w1_E01JLU_18
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Tantan(探探)

Missing1980
Missing (%)100.0%
Memory size17.5 KiB

w1_E01JLU_19
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Momo(陌陌)

Missing1980
Missing (%)100.0%
Memory size17.5 KiB

w1_E01JLU_20
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: WeChat(微信)

Missing1980
Missing (%)100.0%
Memory size17.5 KiB

w1_E01JLU_21
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: QQ

Missing1980
Missing (%)100.0%
Memory size17.5 KiB

w1_E01JLU_22
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: TikTok(抖音)

Missing1980
Missing (%)100.0%
Memory size17.5 KiB

w1_E01JLU_23
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Kuaishou(快手)

Missing1980
Missing (%)100.0%
Memory size17.5 KiB

w1_E01JLU_24
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Huoshan (火山小视频)

Missing1980
Missing (%)100.0%
Memory size17.5 KiB

w1_E02_1
Real number (ℝ)

Missing 

Do you use social networking sites to solve an academic problem? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.4%
Missing729
Missing (%)36.8%
Infinite0
Infinite (%)0.0%
Mean3.382893685
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:35.131734image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.167422434
Coefficient of variation (CV)0.3450958094
Kurtosis-0.8860017695
Mean3.382893685
Median Absolute Deviation (MAD)1
Skewness-0.2025101569
Sum4232
Variance1.36287514
MonotonicityNot monotonic
2025-02-26T17:43:35.242668image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 345
17.4%
4 338
17.1%
5 259
 
13.1%
2 241
 
12.2%
1 68
 
3.4%
(Missing) 729
36.8%
ValueCountFrequency (%)
1 68
 
3.4%
2 241
12.2%
3 345
17.4%
4 338
17.1%
5 259
13.1%
ValueCountFrequency (%)
5 259
13.1%
4 338
17.1%
3 345
17.4%
2 241
12.2%
1 68
 
3.4%

w1_E02_2
Real number (ℝ)

Missing 

Do you use social networking sites to do research work? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.4%
Missing732
Missing (%)37.0%
Infinite0
Infinite (%)0.0%
Mean3.596153846
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:35.283272image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.209578697
Coefficient of variation (CV)0.3363534345
Kurtosis-0.6562131809
Mean3.596153846
Median Absolute Deviation (MAD)1
Skewness-0.5225797624
Sum4488
Variance1.463080624
MonotonicityNot monotonic
2025-02-26T17:43:35.325190image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 356
18.0%
4 354
17.9%
3 300
15.2%
2 154
 
7.8%
1 84
 
4.2%
(Missing) 732
37.0%
ValueCountFrequency (%)
1 84
 
4.2%
2 154
7.8%
3 300
15.2%
4 354
17.9%
5 356
18.0%
ValueCountFrequency (%)
5 356
18.0%
4 354
17.9%
3 300
15.2%
2 154
7.8%
1 84
 
4.2%

w1_E02_3
Real number (ℝ)

Missing 

Do you use social networking sites for online academic group discussion? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.4%
Missing729
Missing (%)36.8%
Infinite0
Infinite (%)0.0%
Mean2.770583533
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:35.365351image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.226101945
Coefficient of variation (CV)0.4425428543
Kurtosis-0.7673086375
Mean2.770583533
Median Absolute Deviation (MAD)1
Skewness0.4231669957
Sum3466
Variance1.503325979
MonotonicityNot monotonic
2025-02-26T17:43:35.405341image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 432
21.8%
3 320
16.2%
1 173
 
8.7%
5 165
 
8.3%
4 161
 
8.1%
(Missing) 729
36.8%
ValueCountFrequency (%)
1 173
8.7%
2 432
21.8%
3 320
16.2%
4 161
 
8.1%
5 165
 
8.3%
ValueCountFrequency (%)
5 165
 
8.3%
4 161
 
8.1%
3 320
16.2%
2 432
21.8%
1 173
8.7%

w1_E02_4
Real number (ℝ)

Missing 

Do you use social networking sites to prepare for an examination? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.4%
Missing736
Missing (%)37.2%
Infinite0
Infinite (%)0.0%
Mean3.607717042
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:35.444341image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.200886611
Coefficient of variation (CV)0.332866075
Kurtosis-0.8324673041
Mean3.607717042
Median Absolute Deviation (MAD)1
Skewness-0.4472925382
Sum4488
Variance1.442128654
MonotonicityNot monotonic
2025-02-26T17:43:35.487034image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 367
18.5%
4 341
17.2%
3 279
 
14.1%
2 195
 
9.8%
1 62
 
3.1%
(Missing) 736
37.2%
ValueCountFrequency (%)
1 62
 
3.1%
2 195
9.8%
3 279
14.1%
4 341
17.2%
5 367
18.5%
ValueCountFrequency (%)
5 367
18.5%
4 341
17.2%
3 279
14.1%
2 195
9.8%
1 62
 
3.1%

w1_E02_5
Real number (ℝ)

Missing 

Do you use social networking sites for collaborative learning? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.4%
Missing733
Missing (%)37.0%
Infinite0
Infinite (%)0.0%
Mean2.424218123
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:35.527520image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.162063744
Coefficient of variation (CV)0.4793560995
Kurtosis-0.2591192615
Mean2.424218123
Median Absolute Deviation (MAD)1
Skewness0.6712875973
Sum3023
Variance1.350392145
MonotonicityNot monotonic
2025-02-26T17:43:35.567770image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 457
23.1%
3 297
15.0%
1 284
 
14.3%
4 111
 
5.6%
5 98
 
4.9%
(Missing) 733
37.0%
ValueCountFrequency (%)
1 284
14.3%
2 457
23.1%
3 297
15.0%
4 111
 
5.6%
5 98
 
4.9%
ValueCountFrequency (%)
5 98
 
4.9%
4 111
 
5.6%
3 297
15.0%
2 457
23.1%
1 284
14.3%

w1_E02_6
Real number (ℝ)

Missing 

Do you use social networking sites to keep you up to date with the activities of your university? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.4%
Missing731
Missing (%)36.9%
Infinite0
Infinite (%)0.0%
Mean2.767814251
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:35.607036image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.199180454
Coefficient of variation (CV)0.4332590068
Kurtosis-0.7398903236
Mean2.767814251
Median Absolute Deviation (MAD)1
Skewness0.3535755998
Sum3457
Variance1.43803376
MonotonicityNot monotonic
2025-02-26T17:43:35.646551image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 400
20.2%
3 347
17.5%
4 182
 
9.2%
1 178
 
9.0%
5 142
 
7.2%
(Missing) 731
36.9%
ValueCountFrequency (%)
1 178
9.0%
2 400
20.2%
3 347
17.5%
4 182
9.2%
5 142
 
7.2%
ValueCountFrequency (%)
5 142
 
7.2%
4 182
9.2%
3 347
17.5%
2 400
20.2%
1 178
9.0%

w1_E02_7
Real number (ℝ)

Missing 

Do you use social networking sites to seek help from your teachers? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.4%
Missing733
Missing (%)37.0%
Infinite0
Infinite (%)0.0%
Mean2.376102646
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:35.686644image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.137641339
Coefficient of variation (CV)0.4787845932
Kurtosis-0.233483973
Mean2.376102646
Median Absolute Deviation (MAD)1
Skewness0.6743404663
Sum2963
Variance1.294227816
MonotonicityNot monotonic
2025-02-26T17:43:35.726269image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 464
23.4%
1 298
15.1%
3 283
 
14.3%
4 122
 
6.2%
5 80
 
4.0%
(Missing) 733
37.0%
ValueCountFrequency (%)
1 298
15.1%
2 464
23.4%
3 283
14.3%
4 122
 
6.2%
5 80
 
4.0%
ValueCountFrequency (%)
5 80
 
4.0%
4 122
 
6.2%
3 283
14.3%
2 464
23.4%
1 298
15.1%

w1_E02_8
Real number (ℝ)

Missing 

Do you use social networking sites to become sociable? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.4%
Missing735
Missing (%)37.1%
Infinite0
Infinite (%)0.0%
Mean3.79437751
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:35.766229image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.229121665
Coefficient of variation (CV)0.3239323608
Kurtosis-0.5881659795
Mean3.79437751
Median Absolute Deviation (MAD)1
Skewness-0.6989087279
Sum4724
Variance1.510740066
MonotonicityNot monotonic
2025-02-26T17:43:35.806362image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 486
24.5%
4 300
15.2%
3 245
 
12.4%
2 145
 
7.3%
1 69
 
3.5%
(Missing) 735
37.1%
ValueCountFrequency (%)
1 69
 
3.5%
2 145
 
7.3%
3 245
12.4%
4 300
15.2%
5 486
24.5%
ValueCountFrequency (%)
5 486
24.5%
4 300
15.2%
3 245
12.4%
2 145
 
7.3%
1 69
 
3.5%

w1_E02_9
Real number (ℝ)

Missing 

Do you use social networking sites to create your social identity? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.4%
Missing734
Missing (%)37.1%
Infinite0
Infinite (%)0.0%
Mean1.958266453
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:35.845695image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.107052912
Coefficient of variation (CV)0.5653229212
Kurtosis0.5025328309
Mean1.958266453
Median Absolute Deviation (MAD)1
Skewness1.121356006
Sum2440
Variance1.225566149
MonotonicityNot monotonic
2025-02-26T17:43:35.887066image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 548
27.7%
2 394
19.9%
3 162
 
8.2%
4 92
 
4.6%
5 50
 
2.5%
(Missing) 734
37.1%
ValueCountFrequency (%)
1 548
27.7%
2 394
19.9%
3 162
 
8.2%
4 92
 
4.6%
5 50
 
2.5%
ValueCountFrequency (%)
5 50
 
2.5%
4 92
 
4.6%
3 162
 
8.2%
2 394
19.9%
1 548
27.7%

w1_E02_10
Real number (ℝ)

Missing 

Do you use social networking sites to attend social gatherings? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.4%
Missing735
Missing (%)37.1%
Infinite0
Infinite (%)0.0%
Mean2.837751004
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:35.926573image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.316243346
Coefficient of variation (CV)0.4638332764
Kurtosis-1.112839199
Mean2.837751004
Median Absolute Deviation (MAD)1
Skewness0.1484219438
Sum3533
Variance1.732496546
MonotonicityNot monotonic
2025-02-26T17:43:35.968984image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 303
15.3%
3 287
 
14.5%
4 245
 
12.4%
1 241
 
12.2%
5 169
 
8.5%
(Missing) 735
37.1%
ValueCountFrequency (%)
1 241
12.2%
2 303
15.3%
3 287
14.5%
4 245
12.4%
5 169
8.5%
ValueCountFrequency (%)
5 169
8.5%
4 245
12.4%
3 287
14.5%
2 303
15.3%
1 241
12.2%

w1_E02_11
Real number (ℝ)

Missing 

Do you use social networking sites to keep in touch with my friends? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.4%
Missing739
Missing (%)37.3%
Infinite0
Infinite (%)0.0%
Mean2.627719581
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:36.009264image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.2293476
Coefficient of variation (CV)0.4678382004
Kurtosis-0.8421274405
Mean2.627719581
Median Absolute Deviation (MAD)1
Skewness0.3534629783
Sum3261
Variance1.511295521
MonotonicityNot monotonic
2025-02-26T17:43:36.051071image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 369
18.6%
3 302
15.3%
1 258
 
13.0%
4 201
 
10.2%
5 111
 
5.6%
(Missing) 739
37.3%
ValueCountFrequency (%)
1 258
13.0%
2 369
18.6%
3 302
15.3%
4 201
10.2%
5 111
 
5.6%
ValueCountFrequency (%)
5 111
 
5.6%
4 201
10.2%
3 302
15.3%
2 369
18.6%
1 258
13.0%

w1_E02_12
Real number (ℝ)

Missing 

Do you use social networking sites to keep in touch with my relatives? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.4%
Missing735
Missing (%)37.1%
Infinite0
Infinite (%)0.0%
Mean1.489156627
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:36.091330image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7603009719
Coefficient of variation (CV)0.510558096
Kurtosis4.278263613
Mean1.489156627
Median Absolute Deviation (MAD)0
Skewness1.883312528
Sum1854
Variance0.5780575679
MonotonicityNot monotonic
2025-02-26T17:43:36.130686image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 786
39.7%
2 351
17.7%
3 78
 
3.9%
4 18
 
0.9%
5 12
 
0.6%
(Missing) 735
37.1%
ValueCountFrequency (%)
1 786
39.7%
2 351
17.7%
3 78
 
3.9%
4 18
 
0.9%
5 12
 
0.6%
ValueCountFrequency (%)
5 12
 
0.6%
4 18
 
0.9%
3 78
 
3.9%
2 351
17.7%
1 786
39.7%

w1_E02_13
Real number (ℝ)

Missing 

Do you use social networking sites to get information regarding current social events? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.4%
Missing735
Missing (%)37.1%
Infinite0
Infinite (%)0.0%
Mean1.759839357
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:36.170368image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.02194253
Coefficient of variation (CV)0.5807021676
Kurtosis1.377543164
Mean1.759839357
Median Absolute Deviation (MAD)0
Skewness1.394339365
Sum2191
Variance1.044366534
MonotonicityNot monotonic
2025-02-26T17:43:36.211475image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 671
33.9%
2 331
16.7%
3 149
 
7.5%
4 59
 
3.0%
5 35
 
1.8%
(Missing) 735
37.1%
ValueCountFrequency (%)
1 671
33.9%
2 331
16.7%
3 149
 
7.5%
4 59
 
3.0%
5 35
 
1.8%
ValueCountFrequency (%)
5 35
 
1.8%
4 59
 
3.0%
3 149
 
7.5%
2 331
16.7%
1 671
33.9%

w1_E02_14
Real number (ℝ)

Missing 

Do you use social networking sites for sharing pictures? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.4%
Missing736
Missing (%)37.2%
Infinite0
Infinite (%)0.0%
Mean2.040996785
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:36.252538image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.034757644
Coefficient of variation (CV)0.5069864156
Kurtosis0.1775620017
Mean2.040996785
Median Absolute Deviation (MAD)1
Skewness0.8823749732
Sum2539
Variance1.070723382
MonotonicityNot monotonic
2025-02-26T17:43:36.292000image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 451
22.8%
2 450
22.7%
3 215
 
10.9%
4 97
 
4.9%
5 31
 
1.6%
(Missing) 736
37.2%
ValueCountFrequency (%)
1 451
22.8%
2 450
22.7%
3 215
10.9%
4 97
 
4.9%
5 31
 
1.6%
ValueCountFrequency (%)
5 31
 
1.6%
4 97
 
4.9%
3 215
10.9%
2 450
22.7%
1 451
22.8%

w1_E02_15
Real number (ℝ)

Missing 

Do you use social networking sites to look at funny stories? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.4%
Missing734
Missing (%)37.1%
Infinite0
Infinite (%)0.0%
Mean2.456661316
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:36.330802image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.292287816
Coefficient of variation (CV)0.5260341781
Kurtosis-0.969378395
Mean2.456661316
Median Absolute Deviation (MAD)1
Skewness0.4525250419
Sum3061
Variance1.6700078
MonotonicityNot monotonic
2025-02-26T17:43:36.371000image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 381
19.2%
2 321
16.2%
3 236
 
11.9%
4 210
 
10.6%
5 98
 
4.9%
(Missing) 734
37.1%
ValueCountFrequency (%)
1 381
19.2%
2 321
16.2%
3 236
11.9%
4 210
10.6%
5 98
 
4.9%
ValueCountFrequency (%)
5 98
 
4.9%
4 210
10.6%
3 236
11.9%
2 321
16.2%
1 381
19.2%

w1_E02_16
Real number (ℝ)

Missing 

Do you use social networking sites for watching movies? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.4%
Missing735
Missing (%)37.1%
Infinite0
Infinite (%)0.0%
Mean2.295582329
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:36.410187image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.22842333
Coefficient of variation (CV)0.5351249284
Kurtosis-0.5972234657
Mean2.295582329
Median Absolute Deviation (MAD)1
Skewness0.6503100352
Sum2858
Variance1.509023877
MonotonicityNot monotonic
2025-02-26T17:43:36.450503image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 418
21.1%
2 352
17.8%
3 244
 
12.3%
4 151
 
7.6%
5 80
 
4.0%
(Missing) 735
37.1%
ValueCountFrequency (%)
1 418
21.1%
2 352
17.8%
3 244
12.3%
4 151
 
7.6%
5 80
 
4.0%
ValueCountFrequency (%)
5 80
 
4.0%
4 151
 
7.6%
3 244
12.3%
2 352
17.8%
1 418
21.1%

w1_E02_17
Real number (ℝ)

Missing 

Do you use social networking sites to get relief from academic stress? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.4%
Missing740
Missing (%)37.4%
Infinite0
Infinite (%)0.0%
Mean2.808870968
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:36.490034image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.388788969
Coefficient of variation (CV)0.4944296073
Kurtosis-1.23449226
Mean2.808870968
Median Absolute Deviation (MAD)1
Skewness0.1870811949
Sum3483
Variance1.928734802
MonotonicityNot monotonic
2025-02-26T17:43:36.531355image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 291
 
14.7%
1 283
 
14.3%
3 242
 
12.2%
4 228
 
11.5%
5 196
 
9.9%
(Missing) 740
37.4%
ValueCountFrequency (%)
1 283
14.3%
2 291
14.7%
3 242
12.2%
4 228
11.5%
5 196
9.9%
ValueCountFrequency (%)
5 196
9.9%
4 228
11.5%
3 242
12.2%
2 291
14.7%
1 283
14.3%

w1_E02_18
Real number (ℝ)

Missing 

Do you use social networking sites for reading news? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.4%
Missing734
Missing (%)37.1%
Infinite0
Infinite (%)0.0%
Mean1.897271268
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:36.571249image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.016668598
Coefficient of variation (CV)0.5358583219
Kurtosis1.108231995
Mean1.897271268
Median Absolute Deviation (MAD)1
Skewness1.217225205
Sum2364
Variance1.033615038
MonotonicityNot monotonic
2025-02-26T17:43:36.611265image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 533
26.9%
2 450
22.7%
3 160
 
8.1%
4 64
 
3.2%
5 39
 
2.0%
(Missing) 734
37.1%
ValueCountFrequency (%)
1 533
26.9%
2 450
22.7%
3 160
 
8.1%
4 64
 
3.2%
5 39
 
2.0%
ValueCountFrequency (%)
5 39
 
2.0%
4 64
 
3.2%
3 160
 
8.1%
2 450
22.7%
1 533
26.9%

w1_E02_19
Real number (ℝ)

Missing 

Do you use social networking sites to share new ideas? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.4%
Missing733
Missing (%)37.0%
Infinite0
Infinite (%)0.0%
Mean2.089815557
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:36.651595image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.071272573
Coefficient of variation (CV)0.5126158475
Kurtosis0.2441241089
Mean2.089815557
Median Absolute Deviation (MAD)1
Skewness0.9113406327
Sum2606
Variance1.147624926
MonotonicityNot monotonic
2025-02-26T17:43:36.691098image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 457
23.1%
1 432
21.8%
3 218
 
11.0%
4 94
 
4.7%
5 46
 
2.3%
(Missing) 733
37.0%
ValueCountFrequency (%)
1 432
21.8%
2 457
23.1%
3 218
11.0%
4 94
 
4.7%
5 46
 
2.3%
ValueCountFrequency (%)
5 46
 
2.3%
4 94
 
4.7%
3 218
11.0%
2 457
23.1%
1 432
21.8%

w1_E02_20
Real number (ℝ)

Missing 

Do you use social networking sites for getting jobs related information? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.4%
Missing734
Missing (%)37.1%
Infinite0
Infinite (%)0.0%
Mean2.92776886
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:36.730718image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.30783834
Coefficient of variation (CV)0.4467013627
Kurtosis-1.137617048
Mean2.92776886
Median Absolute Deviation (MAD)1
Skewness0.04960062362
Sum3648
Variance1.710441122
MonotonicityNot monotonic
2025-02-26T17:43:36.771383image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 296
14.9%
4 284
 
14.3%
3 277
 
14.0%
1 214
 
10.8%
5 175
 
8.8%
(Missing) 734
37.1%
ValueCountFrequency (%)
1 214
10.8%
2 296
14.9%
3 277
14.0%
4 284
14.3%
5 175
8.8%
ValueCountFrequency (%)
5 175
8.8%
4 284
14.3%
3 277
14.0%
2 296
14.9%
1 214
10.8%

w1_E02_21
Real number (ℝ)

Missing 

Distinct5
Distinct (%)0.4%
Missing735
Missing (%)37.1%
Infinite0
Infinite (%)0.0%
Mean2.762248996
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:36.811214image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.243512329
Coefficient of variation (CV)0.4501811136
Kurtosis-0.9597933373
Mean2.762248996
Median Absolute Deviation (MAD)1
Skewness0.2515538755
Sum3439
Variance1.546322912
MonotonicityNot monotonic
2025-02-26T17:43:36.853438image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 371
18.7%
3 289
 
14.6%
4 239
 
12.1%
1 214
 
10.8%
5 132
 
6.7%
(Missing) 735
37.1%
ValueCountFrequency (%)
1 214
10.8%
2 371
18.7%
3 289
14.6%
4 239
12.1%
5 132
 
6.7%
ValueCountFrequency (%)
5 132
 
6.7%
4 239
12.1%
3 289
14.6%
2 371
18.7%
1 214
10.8%

w1_E03
Real number (ℝ)

Missing 

You know what a chatbot is? 1. Yes, 2. No [go to F01]

Distinct2
Distinct (%)0.2%
Missing706
Missing (%)35.7%
Infinite0
Infinite (%)0.0%
Mean1.465463108
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:36.894063image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4990016559
Coefficient of variation (CV)0.3405078252
Kurtosis-1.983895411
Mean1.465463108
Median Absolute Deviation (MAD)0
Skewness0.1386416039
Sum1867
Variance0.2490026526
MonotonicityNot monotonic
2025-02-26T17:43:36.933886image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 681
34.4%
2 593
29.9%
(Missing) 706
35.7%
ValueCountFrequency (%)
1 681
34.4%
2 593
29.9%
ValueCountFrequency (%)
2 593
29.9%
1 681
34.4%

w1_E04
Real number (ℝ)

Missing 

Currently, do you use some chatbot? 1. Yes [go to E06], 2. No

Distinct2
Distinct (%)0.3%
Missing1299
Missing (%)65.6%
Infinite0
Infinite (%)0.0%
Mean1.979441997
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:36.971534image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1420034587
Coefficient of variation (CV)0.07173913605
Kurtosis43.99499855
Mean1.979441997
Median Absolute Deviation (MAD)0
Skewness-6.772429371
Sum1348
Variance0.02016498229
MonotonicityNot monotonic
2025-02-26T17:43:37.009888image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 667
33.7%
1 14
 
0.7%
(Missing) 1299
65.6%
ValueCountFrequency (%)
1 14
 
0.7%
2 667
33.7%
ValueCountFrequency (%)
2 667
33.7%
1 14
 
0.7%

w1_E05
Real number (ℝ)

Missing 

In the past, have you tried to talk/converse with a chatbot? 1. Yes [go to F01], 2. No [go to F01]

Distinct2
Distinct (%)0.3%
Missing1313
Missing (%)66.3%
Infinite0
Infinite (%)0.0%
Mean1.344827586
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:37.047940image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4756687329
Coefficient of variation (CV)0.3537023912
Kurtosis-1.576495201
Mean1.344827586
Median Absolute Deviation (MAD)0
Skewness0.6544012123
Sum897
Variance0.2262607435
MonotonicityNot monotonic
2025-02-26T17:43:37.084503image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 437
 
22.1%
2 230
 
11.6%
(Missing) 1313
66.3%
ValueCountFrequency (%)
1 437
22.1%
2 230
11.6%
ValueCountFrequency (%)
2 230
11.6%
1 437
22.1%

w1_E06
Real number (ℝ)

Missing 

How many chatbot apps have you installed on your smartphone? N.|__|

Distinct3
Distinct (%)25.0%
Missing1968
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean1.333333333
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:37.120475image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31.25
95-th percentile2.45
Maximum3
Range2
Interquartile range (IQR)0.25

Descriptive statistics

Standard deviation0.6513389473
Coefficient of variation (CV)0.4885042105
Kurtosis3.165306122
Mean1.333333333
Median Absolute Deviation (MAD)0
Skewness1.930090105
Sum16
Variance0.4242424242
MonotonicityNot monotonic
2025-02-26T17:43:37.159661image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 9
 
0.5%
2 2
 
0.1%
3 1
 
0.1%
(Missing) 1968
99.4%
ValueCountFrequency (%)
1 9
0.5%
2 2
 
0.1%
3 1
 
0.1%
ValueCountFrequency (%)
3 1
 
0.1%
2 2
 
0.1%
1 9
0.5%

w1_E07
Text

Missing 

Can you tell us which chatbot(s) you have installed on your smartphone? App Name(s) (________)

Distinct11
Distinct (%)91.7%
Missing1968
Missing (%)99.4%
Memory size16.0 KiB
2025-02-26T17:43:37.230776image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length39
Median length20
Mean length12.83333333
Min length4

Characters and Unicode

Total characters154
Distinct characters36
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)83.3%

Sample

1st rowDuolingo, elevate
2nd rowSantander
3rd rowWysa
4th rowGoogle Assistant, Bixby
5th rowSiri?
ValueCountFrequency (%)
siri 2
 
9.5%
duolingo 1
 
4.8%
elevate 1
 
4.8%
santander 1
 
4.8%
wysa 1
 
4.8%
google 1
 
4.8%
assistant 1
 
4.8%
bixby 1
 
4.8%
siri? 1
 
4.8%
hubspot 1
 
4.8%
Other values (10) 10
47.6%
2025-02-26T17:43:37.355485image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 16
 
10.4%
s 13
 
8.4%
i 13
 
8.4%
e 11
 
7.1%
t 10
 
6.5%
9
 
5.8%
r 8
 
5.2%
n 8
 
5.2%
o 7
 
4.5%
l 6
 
3.9%
Other values (26) 53
34.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 154
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 16
 
10.4%
s 13
 
8.4%
i 13
 
8.4%
e 11
 
7.1%
t 10
 
6.5%
9
 
5.8%
r 8
 
5.2%
n 8
 
5.2%
o 7
 
4.5%
l 6
 
3.9%
Other values (26) 53
34.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 154
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 16
 
10.4%
s 13
 
8.4%
i 13
 
8.4%
e 11
 
7.1%
t 10
 
6.5%
9
 
5.8%
r 8
 
5.2%
n 8
 
5.2%
o 7
 
4.5%
l 6
 
3.9%
Other values (26) 53
34.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 154
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 16
 
10.4%
s 13
 
8.4%
i 13
 
8.4%
e 11
 
7.1%
t 10
 
6.5%
9
 
5.8%
r 8
 
5.2%
n 8
 
5.2%
o 7
 
4.5%
l 6
 
3.9%
Other values (26) 53
34.4%

w1_E08
Real number (ℝ)

Missing 

How often do use the chatbot? (1) Rarely/Never; (2) Every few weeks; (3) A few times a week; (4) About once a day; (5) Several times a day

Distinct4
Distinct (%)33.3%
Missing1968
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean2.25
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:37.467153image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile3.9
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.215431087
Coefficient of variation (CV)0.5401915942
Kurtosis0.8935384615
Mean2.25
Median Absolute Deviation (MAD)1
Skewness0.8885736193
Sum27
Variance1.477272727
MonotonicityNot monotonic
2025-02-26T17:43:37.506536image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3 4
 
0.2%
1 4
 
0.2%
2 3
 
0.2%
5 1
 
0.1%
(Missing) 1968
99.4%
ValueCountFrequency (%)
1 4
0.2%
2 3
0.2%
3 4
0.2%
5 1
 
0.1%
ValueCountFrequency (%)
5 1
 
0.1%
3 4
0.2%
2 3
0.2%
1 4
0.2%

w1_E09_1
Real number (ℝ)

Missing 

How much do you agree with the following statement: if the chatbot shows you ads (advertisements) based on your online activity? (1 Totally disagree; 2 Disagree; 3 Neutral; 4 Agree; 5 Totally Agree)

Distinct5
Distinct (%)50.0%
Missing1970
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean3.2
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:37.545213image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3.5
Q34.75
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2.75

Descriptive statistics

Standard deviation1.619327707
Coefficient of variation (CV)0.5060399084
Kurtosis-1.694863955
Mean3.2
Median Absolute Deviation (MAD)1.5
Skewness-0.2041022785
Sum32
Variance2.622222222
MonotonicityNot monotonic
2025-02-26T17:43:37.586261image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 3
 
0.2%
2 2
 
0.1%
1 2
 
0.1%
4 2
 
0.1%
3 1
 
0.1%
(Missing) 1970
99.5%
ValueCountFrequency (%)
1 2
0.1%
2 2
0.1%
3 1
 
0.1%
4 2
0.1%
5 3
0.2%
ValueCountFrequency (%)
5 3
0.2%
4 2
0.1%
3 1
 
0.1%
2 2
0.1%
1 2
0.1%

w1_E09_2
Real number (ℝ)

Missing 

How much do you agree with the following statement: if the chatbot knew who you were, without logging in? (1 Totally disagree; 2 Disagree; 3 Neutral; 4 Agree; 5 Totally Agree)

Distinct5
Distinct (%)50.0%
Missing1970
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean3
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:37.626400image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12.25
median3
Q33.75
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation1.414213562
Coefficient of variation (CV)0.4714045208
Kurtosis-0.7380952381
Mean3
Median Absolute Deviation (MAD)1
Skewness0
Sum30
Variance2
MonotonicityNot monotonic
2025-02-26T17:43:37.666631image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 4
 
0.2%
1 2
 
0.1%
5 2
 
0.1%
4 1
 
0.1%
2 1
 
0.1%
(Missing) 1970
99.5%
ValueCountFrequency (%)
1 2
0.1%
2 1
 
0.1%
3 4
0.2%
4 1
 
0.1%
5 2
0.1%
ValueCountFrequency (%)
5 2
0.1%
4 1
 
0.1%
3 4
0.2%
2 1
 
0.1%
1 2
0.1%

w1_E09_3
Real number (ℝ)

Missing 

How much do you agree with the following statement: if the chatbot analysed you, even when using other apps (applications)? (1 Totally disagree; 2 Disagree; 3 Neutral; 4 Agree; 5 Totally Agree)

Distinct4
Distinct (%)40.0%
Missing1970
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean3.2
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:37.705280image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.686548085
Coefficient of variation (CV)0.5270462767
Kurtosis-1.830793108
Mean3.2
Median Absolute Deviation (MAD)2
Skewness-0.041690184
Sum32
Variance2.844444444
MonotonicityNot monotonic
2025-02-26T17:43:37.745097image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
5 4
 
0.2%
3 2
 
0.1%
1 2
 
0.1%
2 2
 
0.1%
(Missing) 1970
99.5%
ValueCountFrequency (%)
1 2
0.1%
2 2
0.1%
3 2
0.1%
5 4
0.2%
ValueCountFrequency (%)
5 4
0.2%
3 2
0.1%
2 2
0.1%
1 2
0.1%

w1_E09_4
Real number (ℝ)

Missing 

How much do you agree with the following statement: if the chatbot identified your age? (1 Totally disagree; 2 Disagree; 3 Neutral; 4 Agree; 5 Totally Agree)

Distinct4
Distinct (%)40.0%
Missing1970
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean2.3
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:37.783599image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32.75
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1.75

Descriptive statistics

Standard deviation1.567021236
Coefficient of variation (CV)0.6813135811
Kurtosis-0.06897015681
Mean2.3
Median Absolute Deviation (MAD)1
Skewness1.113159063
Sum23
Variance2.455555556
MonotonicityNot monotonic
2025-02-26T17:43:37.822644image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 4
 
0.2%
2 3
 
0.2%
5 2
 
0.1%
3 1
 
0.1%
(Missing) 1970
99.5%
ValueCountFrequency (%)
1 4
0.2%
2 3
0.2%
3 1
 
0.1%
5 2
0.1%
ValueCountFrequency (%)
5 2
0.1%
3 1
 
0.1%
2 3
0.2%
1 4
0.2%

w1_E09_5
Real number (ℝ)

Missing 

How much do you agree with the following statement: if the chatbot identified your gender? (1 Totally disagree; 2 Disagree; 3 Neutral; 4 Agree; 5 Totally Agree)

Distinct4
Distinct (%)40.0%
Missing1970
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean2.3
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:37.861811image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32.75
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1.75

Descriptive statistics

Standard deviation1.567021236
Coefficient of variation (CV)0.6813135811
Kurtosis-0.06897015681
Mean2.3
Median Absolute Deviation (MAD)1
Skewness1.113159063
Sum23
Variance2.455555556
MonotonicityNot monotonic
2025-02-26T17:43:37.900885image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 4
 
0.2%
2 3
 
0.2%
5 2
 
0.1%
3 1
 
0.1%
(Missing) 1970
99.5%
ValueCountFrequency (%)
1 4
0.2%
2 3
0.2%
3 1
 
0.1%
5 2
0.1%
ValueCountFrequency (%)
5 2
0.1%
3 1
 
0.1%
2 3
0.2%
1 4
0.2%

w1_E09_6
Real number (ℝ)

Missing 

How much do you agree with the following statement: if the chatbot identified your religious/political views? (1 Totally disagree; 2 Disagree; 3 Neutral; 4 Agree; 5 Totally Agree)

Distinct5
Distinct (%)50.0%
Missing1970
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean2.9
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:37.941043image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.25
median2.5
Q34.75
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation1.728840331
Coefficient of variation (CV)0.5961518382
Kurtosis-1.890876498
Mean2.9
Median Absolute Deviation (MAD)1.5
Skewness0.1902988244
Sum29
Variance2.988888889
MonotonicityNot monotonic
2025-02-26T17:43:37.982370image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 3
 
0.2%
5 3
 
0.2%
2 2
 
0.1%
4 1
 
0.1%
3 1
 
0.1%
(Missing) 1970
99.5%
ValueCountFrequency (%)
1 3
0.2%
2 2
0.1%
3 1
 
0.1%
4 1
 
0.1%
5 3
0.2%
ValueCountFrequency (%)
5 3
0.2%
4 1
 
0.1%
3 1
 
0.1%
2 2
0.1%
1 3
0.2%

w1_E09_7
Real number (ℝ)

Missing 

How much do you agree with the following statement: if individuals or groups perform threatening acts to other users, through the chatbot? (1 Totally disagree; 2 Disagree; 3 Neutral; 4 Agree; 5 Totally Agree)

Distinct3
Distinct (%)30.0%
Missing1970
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean4.3
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:38.020815image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.45
Q13.5
median5
Q35
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation1.159501809
Coefficient of variation (CV)0.2696515834
Kurtosis-0.06761833208
Mean4.3
Median Absolute Deviation (MAD)0
Skewness-1.261584852
Sum43
Variance1.344444444
MonotonicityNot monotonic
2025-02-26T17:43:38.059099image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
5 7
 
0.4%
3 2
 
0.1%
2 1
 
0.1%
(Missing) 1970
99.5%
ValueCountFrequency (%)
2 1
 
0.1%
3 2
 
0.1%
5 7
0.4%
ValueCountFrequency (%)
5 7
0.4%
3 2
 
0.1%
2 1
 
0.1%

w1_F01
Real number (ℝ)

Missing 

Are you a part of, or are you a member of, any student association or group and/or other nonstudents associations? (e.g. religious, political, sports, etc.) 1) Only student ass. [go to F02], 2)Only nonstudent ass. [go to F04], 3) Both, 4) No [go to G01]

Distinct4
Distinct (%)0.3%
Missing710
Missing (%)35.9%
Infinite0
Infinite (%)0.0%
Mean2.697637795
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:38.095570image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q34
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.349165143
Coefficient of variation (CV)0.5001283513
Kurtosis-1.73264095
Mean2.697637795
Median Absolute Deviation (MAD)1
Skewness-0.2814125817
Sum3426
Variance1.820246583
MonotonicityNot monotonic
2025-02-26T17:43:38.133263image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
4 584
29.5%
1 437
22.1%
3 155
 
7.8%
2 94
 
4.7%
(Missing) 710
35.9%
ValueCountFrequency (%)
1 437
22.1%
2 94
 
4.7%
3 155
 
7.8%
4 584
29.5%
ValueCountFrequency (%)
4 584
29.5%
3 155
 
7.8%
2 94
 
4.7%
1 437
22.1%

w1_F02
Real number (ℝ)

Missing 

Distinct12
Distinct (%)2.0%
Missing1388
Missing (%)70.1%
Infinite0
Infinite (%)0.0%
Mean2.984797297
Minimum0
Maximum70
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:38.171291image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q34
95-th percentile6
Maximum70
Range70
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.789928584
Coefficient of variation (CV)1.269744042
Kurtosis204.7728793
Mean2.984797297
Median Absolute Deviation (MAD)1
Skewness12.71652258
Sum1767
Variance14.36355867
MonotonicityNot monotonic
2025-02-26T17:43:38.212003image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1 154
 
7.8%
2 150
 
7.6%
3 126
 
6.4%
4 63
 
3.2%
5 51
 
2.6%
6 28
 
1.4%
7 8
 
0.4%
10 6
 
0.3%
8 3
 
0.2%
70 1
 
0.1%
Other values (2) 2
 
0.1%
(Missing) 1388
70.1%
ValueCountFrequency (%)
0 1
 
0.1%
1 154
7.8%
2 150
7.6%
3 126
6.4%
4 63
3.2%
ValueCountFrequency (%)
70 1
 
0.1%
50 1
 
0.1%
10 6
0.3%
8 3
 
0.2%
7 8
0.4%

w1_F03_1
Boolean

Imbalance 

Please mark the categories of interest of the society(ies) you belong to: Faith

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
False
1913 
True
 
67
ValueCountFrequency (%)
False 1913
96.6%
True 67
 
3.4%
2025-02-26T17:43:38.251511image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F03_2
Boolean

Imbalance 

Please mark the categories of interest of the society(ies) you belong to: Arts and Performance

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
False
1874 
True
 
106
ValueCountFrequency (%)
False 1874
94.6%
True 106
 
5.4%
2025-02-26T17:43:38.284809image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F03_3
Boolean

Imbalance 

Please mark the categories of interest of the society(ies) you belong to: Activity and specialist (e.g., music, alt music, wine, dance, video makers)

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
False
1956 
True
 
24
ValueCountFrequency (%)
False 1956
98.8%
True 24
 
1.2%
2025-02-26T17:43:38.319219image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F03_4
Boolean

Imbalance 

Please mark the categories of interest of the society(ies) you belong to: Cultural and National

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
False
1778 
True
202 
ValueCountFrequency (%)
False 1778
89.8%
True 202
 
10.2%
2025-02-26T17:43:38.352941image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F03_5
Boolean

Please mark the categories of interest of the society(ies) you belong to: Careers

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
False
1735 
True
245 
ValueCountFrequency (%)
False 1735
87.6%
True 245
 
12.4%
2025-02-26T17:43:38.388283image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F03_6
Boolean

Imbalance 

Please mark the categories of interest of the society(ies) you belong to: Volunteering and Charity

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
False
1833 
True
 
147
ValueCountFrequency (%)
False 1833
92.6%
True 147
 
7.4%
2025-02-26T17:43:38.422620image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F03_7
Boolean

Imbalance 

Please mark the categories of interest of the society(ies) you belong to: Political (e.g., Pacifist, environmentalist, civil rights advocate, political party)

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
False
1803 
True
 
177
ValueCountFrequency (%)
False 1803
91.1%
True 177
 
8.9%
2025-02-26T17:43:38.456189image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F03_8
Boolean

Imbalance 

Please mark the categories of interest of the society(ies) you belong to: Media

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
False
1938 
True
 
42
ValueCountFrequency (%)
False 1938
97.9%
True 42
 
2.1%
2025-02-26T17:43:38.492266image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F03_9
Boolean

Imbalance 

Please mark the categories of interest of the society(ies) you belong to: Sport

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
False
1809 
True
 
171
ValueCountFrequency (%)
False 1809
91.4%
True 171
 
8.6%
2025-02-26T17:43:38.526114image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F03_10
Boolean

Imbalance 

Please mark the categories of interest of the society(ies) you belong to: Recreational

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
False
1889 
True
 
91
ValueCountFrequency (%)
False 1889
95.4%
True 91
 
4.6%
2025-02-26T17:43:38.561297image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F03_other
Text

Missing 

Please mark the categories of interest of the society(ies) you belong to: Other, specify: ________

Distinct47
Distinct (%)71.2%
Missing1914
Missing (%)96.7%
Memory size16.7 KiB
2025-02-26T17:43:38.673422image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length76
Median length29
Mean length14.09090909
Min length3

Characters and Unicode

Total characters930
Distinct characters52
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)68.2%

Sample

1st rowDebate
2nd rowPhilosophical
3rd rowAccounting and finance
4th roworatory union
5th rowAcademic
ValueCountFrequency (%)
academic 26
 
23.0%
research 3
 
2.7%
education 2
 
1.8%
and 2
 
1.8%
finance 2
 
1.8%
union 2
 
1.8%
identity 2
 
1.8%
interest 2
 
1.8%
society 2
 
1.8%
of 2
 
1.8%
Other values (63) 68
60.2%
2025-02-26T17:43:38.853404image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 100
 
10.8%
c 93
 
10.0%
i 88
 
9.5%
a 83
 
8.9%
t 50
 
5.4%
n 50
 
5.4%
d 48
 
5.2%
47
 
5.1%
o 41
 
4.4%
m 36
 
3.9%
Other values (42) 294
31.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 930
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 100
 
10.8%
c 93
 
10.0%
i 88
 
9.5%
a 83
 
8.9%
t 50
 
5.4%
n 50
 
5.4%
d 48
 
5.2%
47
 
5.1%
o 41
 
4.4%
m 36
 
3.9%
Other values (42) 294
31.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 930
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 100
 
10.8%
c 93
 
10.0%
i 88
 
9.5%
a 83
 
8.9%
t 50
 
5.4%
n 50
 
5.4%
d 48
 
5.2%
47
 
5.1%
o 41
 
4.4%
m 36
 
3.9%
Other values (42) 294
31.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 930
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 100
 
10.8%
c 93
 
10.0%
i 88
 
9.5%
a 83
 
8.9%
t 50
 
5.4%
n 50
 
5.4%
d 48
 
5.2%
47
 
5.1%
o 41
 
4.4%
m 36
 
3.9%
Other values (42) 294
31.6%

w1_F04_1
Boolean

Imbalance 

Please mark the categories of interest of the society(ies) you belong to nonstudents association: Faith

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
False
1918 
True
 
62
ValueCountFrequency (%)
False 1918
96.9%
True 62
 
3.1%
2025-02-26T17:43:38.903877image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F04_2
Boolean

Imbalance 

Please mark the categories of interest of the society(ies) you belong to nonstudents association: Arts and Performance

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
False
1953 
True
 
27
ValueCountFrequency (%)
False 1953
98.6%
True 27
 
1.4%
2025-02-26T17:43:38.937883image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F04_3
Boolean

Imbalance 

Please mark the categories of interest of the society(ies) you belong to nonstudents association: Activity and specialist (e.g., music, alt music, wine, dance, video makers)

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
False
1969 
True
 
11
ValueCountFrequency (%)
False 1969
99.4%
True 11
 
0.6%
2025-02-26T17:43:38.972473image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F04_4
Boolean

Imbalance 

Please mark the categories of interest of the society(ies) you belong to nonstudents association: Cultural and National

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
False
1948 
True
 
32
ValueCountFrequency (%)
False 1948
98.4%
True 32
 
1.6%
2025-02-26T17:43:39.007250image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F04_5
Boolean

Imbalance 

Please mark the categories of interest of the society(ies) you belong to nonstudents association: Careers

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
False
1947 
True
 
33
ValueCountFrequency (%)
False 1947
98.3%
True 33
 
1.7%
2025-02-26T17:43:39.040754image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F04_6
Boolean

Imbalance 

Please mark the categories of interest of the society(ies) you belong to nonstudents association: Volunteering and Charity

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
False
1901 
True
 
79
ValueCountFrequency (%)
False 1901
96.0%
True 79
 
4.0%
2025-02-26T17:43:39.074041image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F04_7
Boolean

Imbalance 

Please mark the categories of interest of the society(ies) you belong to nonstudents association: Political (e.g., Pacifist, environmentalist, civil rights advocate, political party)

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
False
1896 
True
 
84
ValueCountFrequency (%)
False 1896
95.8%
True 84
 
4.2%
2025-02-26T17:43:39.108207image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F04_8
Boolean

Imbalance 

Please mark the categories of interest of the society(ies) you belong to nonstudents association: Media

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
False
1973 
True
 
7
ValueCountFrequency (%)
False 1973
99.6%
True 7
 
0.4%
2025-02-26T17:43:39.141351image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F04_9
Boolean

Imbalance 

Please mark the categories of interest of the society(ies) you belong to nonstudents association: Sport

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
False
1934 
True
 
46
ValueCountFrequency (%)
False 1934
97.7%
True 46
 
2.3%
2025-02-26T17:43:39.175145image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F04_10
Boolean

Imbalance 

Please mark the categories of interest of the society(ies) you belong to nonstudents association: Recreational

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
False
1957 
True
 
23
ValueCountFrequency (%)
False 1957
98.8%
True 23
 
1.2%
2025-02-26T17:43:39.208265image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F04_other
Text

Missing 

Please mark the categories of interest of the society(ies) you belong to nonstudents association: Other, specify

Distinct16
Distinct (%)84.2%
Missing1961
Missing (%)99.0%
Memory size16.1 KiB
2025-02-26T17:43:39.276695image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length35
Median length19
Mean length13.21052632
Min length5

Characters and Unicode

Total characters251
Distinct characters34
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)78.9%

Sample

1st rowAcademic Research community
2nd rowDietary
3rd rowschloarship
4th rowreading group
5th rowChevening scholarship
ValueCountFrequency (%)
academic 6
19.4%
alumni 3
 
9.7%
community 2
 
6.5%
research 1
 
3.2%
dietary 1
 
3.2%
schloarship 1
 
3.2%
reading 1
 
3.2%
group 1
 
3.2%
chevening 1
 
3.2%
scholarship 1
 
3.2%
Other values (13) 13
41.9%
2025-02-26T17:43:39.404170image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
i 24
 
9.6%
c 21
 
8.4%
a 20
 
8.0%
e 17
 
6.8%
o 17
 
6.8%
m 16
 
6.4%
s 16
 
6.4%
n 16
 
6.4%
12
 
4.8%
r 10
 
4.0%
Other values (24) 82
32.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 251
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
i 24
 
9.6%
c 21
 
8.4%
a 20
 
8.0%
e 17
 
6.8%
o 17
 
6.8%
m 16
 
6.4%
s 16
 
6.4%
n 16
 
6.4%
12
 
4.8%
r 10
 
4.0%
Other values (24) 82
32.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 251
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
i 24
 
9.6%
c 21
 
8.4%
a 20
 
8.0%
e 17
 
6.8%
o 17
 
6.8%
m 16
 
6.4%
s 16
 
6.4%
n 16
 
6.4%
12
 
4.8%
r 10
 
4.0%
Other values (24) 82
32.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 251
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
i 24
 
9.6%
c 21
 
8.4%
a 20
 
8.0%
e 17
 
6.8%
o 17
 
6.8%
m 16
 
6.4%
s 16
 
6.4%
n 16
 
6.4%
12
 
4.8%
r 10
 
4.0%
Other values (24) 82
32.7%

w1_G01_1
Real number (ℝ)

Missing 

Have you done any of the following activities in the last year or so? Acted in a theatre play (1) YES (2) NO

Distinct2
Distinct (%)0.2%
Missing766
Missing (%)38.7%
Infinite0
Infinite (%)0.0%
Mean1.891268534
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:39.450449image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3114302914
Coefficient of variation (CV)0.1646674102
Kurtosis4.341765728
Mean1.891268534
Median Absolute Deviation (MAD)0
Skewness-2.516866228
Sum2296
Variance0.09698882643
MonotonicityNot monotonic
2025-02-26T17:43:39.488264image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 1082
54.6%
1 132
 
6.7%
(Missing) 766
38.7%
ValueCountFrequency (%)
1 132
 
6.7%
2 1082
54.6%
ValueCountFrequency (%)
2 1082
54.6%
1 132
 
6.7%

w1_G01_2
Real number (ℝ)

Missing 

Have you done any of the following activities in the last year or so? Directed a theatre play (1) YES (2) NO

Distinct2
Distinct (%)0.2%
Missing768
Missing (%)38.8%
Infinite0
Infinite (%)0.0%
Mean1.962046205
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:39.524927image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1911634279
Coefficient of variation (CV)0.09743064533
Kurtosis21.48073822
Mean1.962046205
Median Absolute Deviation (MAD)0
Skewness-4.842034091
Sum2378
Variance0.03654345616
MonotonicityNot monotonic
2025-02-26T17:43:39.563785image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 1166
58.9%
1 46
 
2.3%
(Missing) 768
38.8%
ValueCountFrequency (%)
1 46
 
2.3%
2 1166
58.9%
ValueCountFrequency (%)
2 1166
58.9%
1 46
 
2.3%

w1_G01_3
Real number (ℝ)

Missing 

Have you done any of the following activities in the last year or so? Performed as a stand-up comedian (1) YES (2) NO

Distinct2
Distinct (%)0.2%
Missing770
Missing (%)38.9%
Infinite0
Infinite (%)0.0%
Mean1.989256198
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:39.600612image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.103136625
Coefficient of variation (CV)0.05184682854
Kurtosis88.45784375
Mean1.989256198
Median Absolute Deviation (MAD)0
Skewness-9.503243392
Sum2407
Variance0.01063716342
MonotonicityNot monotonic
2025-02-26T17:43:39.639271image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 1197
60.5%
1 13
 
0.7%
(Missing) 770
38.9%
ValueCountFrequency (%)
1 13
 
0.7%
2 1197
60.5%
ValueCountFrequency (%)
2 1197
60.5%
1 13
 
0.7%

w1_G01_4
Real number (ℝ)

Missing 

Have you done any of the following activities in the last year or so? Sung in a choir, a vocal ensemble, opera/operetta/musical troupe, pop-rock jazz, folk band, rapped (1) YES (2) NO

Distinct2
Distinct (%)0.2%
Missing767
Missing (%)38.7%
Infinite0
Infinite (%)0.0%
Mean1.867271228
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:39.675926image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.339421304
Coefficient of variation (CV)0.1817739699
Kurtosis2.703275736
Mean1.867271228
Median Absolute Deviation (MAD)0
Skewness-2.16767647
Sum2265
Variance0.1152068216
MonotonicityNot monotonic
2025-02-26T17:43:39.713022image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 1052
53.1%
1 161
 
8.1%
(Missing) 767
38.7%
ValueCountFrequency (%)
1 161
 
8.1%
2 1052
53.1%
ValueCountFrequency (%)
2 1052
53.1%
1 161
 
8.1%

w1_G01_5
Real number (ℝ)

Missing 

Have you done any of the following activities in the last year or so? Played a musical instrument (1) YES (2) NO

Distinct2
Distinct (%)0.2%
Missing765
Missing (%)38.6%
Infinite0
Infinite (%)0.0%
Mean1.804938272
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:39.749975image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3964113841
Coefficient of variation (CV)0.2196260063
Kurtosis0.3753908165
Mean1.804938272
Median Absolute Deviation (MAD)0
Skewness-1.541030694
Sum2193
Variance0.1571419855
MonotonicityNot monotonic
2025-02-26T17:43:39.787083image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 978
49.4%
1 237
 
12.0%
(Missing) 765
38.6%
ValueCountFrequency (%)
1 237
 
12.0%
2 978
49.4%
ValueCountFrequency (%)
2 978
49.4%
1 237
 
12.0%

w1_G01_6
Real number (ℝ)

Missing 

Have you done any of the following activities in the last year or so? Played a musical instrument in an orchestra or pop/rock/jazz/folk band (1) YES (2) NO

Distinct2
Distinct (%)0.2%
Missing767
Missing (%)38.7%
Infinite0
Infinite (%)0.0%
Mean1.915086562
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:39.823245image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2788678134
Coefficient of variation (CV)0.1456162969
Kurtosis6.902854988
Mean1.915086562
Median Absolute Deviation (MAD)0
Skewness-2.981857849
Sum2323
Variance0.07776725735
MonotonicityNot monotonic
2025-02-26T17:43:39.861205image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 1110
56.1%
1 103
 
5.2%
(Missing) 767
38.7%
ValueCountFrequency (%)
1 103
 
5.2%
2 1110
56.1%
ValueCountFrequency (%)
2 1110
56.1%
1 103
 
5.2%

w1_G01_7
Real number (ℝ)

Missing 

Have you done any of the following activities in the last year or so? Composed music or performed as DJ (1) YES (2) NO

Distinct2
Distinct (%)0.2%
Missing772
Missing (%)39.0%
Infinite0
Infinite (%)0.0%
Mean1.946192053
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:39.897318image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2257317723
Coefficient of variation (CV)0.1159863806
Kurtosis13.70309848
Mean1.946192053
Median Absolute Deviation (MAD)0
Skewness-3.959850243
Sum2351
Variance0.05095483301
MonotonicityNot monotonic
2025-02-26T17:43:39.935684image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 1143
57.7%
1 65
 
3.3%
(Missing) 772
39.0%
ValueCountFrequency (%)
1 65
 
3.3%
2 1143
57.7%
ValueCountFrequency (%)
2 1143
57.7%
1 65
 
3.3%

w1_G01_8
Real number (ℝ)

Missing 

Have you done any of the following activities in the last year or so? Danced (ballet or modern dance, ballroom dance, Latin American dance, jazz dance, hip hop, break dance, street dance, folk dance) (1) YES (2) NO

Distinct2
Distinct (%)0.2%
Missing767
Missing (%)38.7%
Infinite0
Infinite (%)0.0%
Mean1.770816158
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:40.044728image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4204811129
Coefficient of variation (CV)0.2374504609
Kurtosis-0.3358046991
Mean1.770816158
Median Absolute Deviation (MAD)0
Skewness-1.290252572
Sum2148
Variance0.1768043663
MonotonicityNot monotonic
2025-02-26T17:43:40.081624image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 935
47.2%
1 278
 
14.0%
(Missing) 767
38.7%
ValueCountFrequency (%)
1 278
 
14.0%
2 935
47.2%
ValueCountFrequency (%)
2 935
47.2%
1 278
 
14.0%

w1_G01_9
Real number (ℝ)

Missing 

Have you done any of the following activities in the last year or so? Did choreography for a dance performance (1) YES (2) NO

Distinct2
Distinct (%)0.2%
Missing773
Missing (%)39.0%
Infinite0
Infinite (%)0.0%
Mean1.92046396
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:40.118056image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2706857274
Coefficient of variation (CV)0.1409480901
Kurtosis7.696136499
Mean1.92046396
Median Absolute Deviation (MAD)0
Skewness-3.111814057
Sum2318
Variance0.073270763
MonotonicityNot monotonic
2025-02-26T17:43:40.155189image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 1111
56.1%
1 96
 
4.8%
(Missing) 773
39.0%
ValueCountFrequency (%)
1 96
 
4.8%
2 1111
56.1%
ValueCountFrequency (%)
2 1111
56.1%
1 96
 
4.8%

w1_G02_1
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of Theatre plays? (1) Never, (2) ... , (6) Very often

Distinct6
Distinct (%)0.5%
Missing775
Missing (%)39.1%
Infinite0
Infinite (%)0.0%
Mean2.132780083
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:40.191288image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.363000399
Coefficient of variation (CV)0.6390721717
Kurtosis0.8730259013
Mean2.132780083
Median Absolute Deviation (MAD)1
Skewness1.257110513
Sum2570
Variance1.857770089
MonotonicityNot monotonic
2025-02-26T17:43:40.229919image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 528
26.7%
2 321
16.2%
3 163
 
8.2%
4 104
 
5.3%
6 50
 
2.5%
5 39
 
2.0%
(Missing) 775
39.1%
ValueCountFrequency (%)
1 528
26.7%
2 321
16.2%
3 163
 
8.2%
4 104
 
5.3%
5 39
 
2.0%
ValueCountFrequency (%)
6 50
 
2.5%
5 39
 
2.0%
4 104
 
5.3%
3 163
8.2%
2 321
16.2%

w1_G02_2
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of Cabarets, or a stand-up comedy? (1) Never, (2) ... , (6) Very often

Distinct6
Distinct (%)0.5%
Missing777
Missing (%)39.2%
Infinite0
Infinite (%)0.0%
Mean2.159600998
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:40.266010image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.535318155
Coefficient of variation (CV)0.710926767
Kurtosis0.3523636476
Mean2.159600998
Median Absolute Deviation (MAD)0
Skewness1.224187581
Sum2598
Variance2.357201837
MonotonicityNot monotonic
2025-02-26T17:43:40.305043image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 612
30.9%
2 227
 
11.5%
3 135
 
6.8%
4 91
 
4.6%
6 73
 
3.7%
5 65
 
3.3%
(Missing) 777
39.2%
ValueCountFrequency (%)
1 612
30.9%
2 227
 
11.5%
3 135
 
6.8%
4 91
 
4.6%
5 65
 
3.3%
ValueCountFrequency (%)
6 73
 
3.7%
5 65
 
3.3%
4 91
4.6%
3 135
6.8%
2 227
11.5%

w1_G02_3
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of Ballets or a modern dance? (1) Never, (2) ... , (6) Very often

Distinct6
Distinct (%)0.5%
Missing773
Missing (%)39.0%
Infinite0
Infinite (%)0.0%
Mean1.666942833
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:40.341597image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.182413636
Coefficient of variation (CV)0.7093306453
Kurtosis3.436903931
Mean1.666942833
Median Absolute Deviation (MAD)0
Skewness1.990229239
Sum2012
Variance1.398102006
MonotonicityNot monotonic
2025-02-26T17:43:40.379541image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 807
40.8%
2 191
 
9.6%
3 94
 
4.7%
4 61
 
3.1%
6 27
 
1.4%
5 27
 
1.4%
(Missing) 773
39.0%
ValueCountFrequency (%)
1 807
40.8%
2 191
 
9.6%
3 94
 
4.7%
4 61
 
3.1%
5 27
 
1.4%
ValueCountFrequency (%)
6 27
 
1.4%
5 27
 
1.4%
4 61
 
3.1%
3 94
4.7%
2 191
9.6%

w1_G02_4
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of Classical music? (1) Never, (2) ... , (6) Very often

Distinct6
Distinct (%)0.5%
Missing775
Missing (%)39.1%
Infinite0
Infinite (%)0.0%
Mean2.347717842
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:40.415332image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.648845923
Coefficient of variation (CV)0.7023186062
Kurtosis-0.2055654784
Mean2.347717842
Median Absolute Deviation (MAD)1
Skewness1.02478724
Sum2829
Variance2.718692877
MonotonicityNot monotonic
2025-02-26T17:43:40.453235image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 562
28.4%
2 217
 
11.0%
3 147
 
7.4%
4 110
 
5.6%
6 107
 
5.4%
5 62
 
3.1%
(Missing) 775
39.1%
ValueCountFrequency (%)
1 562
28.4%
2 217
 
11.0%
3 147
 
7.4%
4 110
 
5.6%
5 62
 
3.1%
ValueCountFrequency (%)
6 107
5.4%
5 62
 
3.1%
4 110
5.6%
3 147
7.4%
2 217
11.0%

w1_G02_5
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of Opera? (1) Never, (2) ... , (6) Very often

Distinct6
Distinct (%)0.5%
Missing778
Missing (%)39.3%
Infinite0
Infinite (%)0.0%
Mean1.599001664
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:40.491221image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.169526617
Coefficient of variation (CV)0.7314105066
Kurtosis4.68477646
Mean1.599001664
Median Absolute Deviation (MAD)0
Skewness2.261560395
Sum1922
Variance1.367792508
MonotonicityNot monotonic
2025-02-26T17:43:40.528627image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 852
43.0%
2 166
 
8.4%
3 86
 
4.3%
4 43
 
2.2%
6 33
 
1.7%
5 22
 
1.1%
(Missing) 778
39.3%
ValueCountFrequency (%)
1 852
43.0%
2 166
 
8.4%
3 86
 
4.3%
4 43
 
2.2%
5 22
 
1.1%
ValueCountFrequency (%)
6 33
 
1.7%
5 22
 
1.1%
4 43
 
2.2%
3 86
4.3%
2 166
8.4%

w1_G02_6
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of Musical? (1) Never, (2) ... , (6) Very often

Distinct6
Distinct (%)0.5%
Missing776
Missing (%)39.2%
Infinite0
Infinite (%)0.0%
Mean2.352990033
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:40.565264image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.606040974
Coefficient of variation (CV)0.6825532414
Kurtosis-0.1405059601
Mean2.352990033
Median Absolute Deviation (MAD)1
Skewness1.020672075
Sum2833
Variance2.579367611
MonotonicityNot monotonic
2025-02-26T17:43:40.602965image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 532
26.9%
2 243
 
12.3%
3 159
 
8.0%
4 108
 
5.5%
6 96
 
4.8%
5 66
 
3.3%
(Missing) 776
39.2%
ValueCountFrequency (%)
1 532
26.9%
2 243
12.3%
3 159
 
8.0%
4 108
 
5.5%
5 66
 
3.3%
ValueCountFrequency (%)
6 96
 
4.8%
5 66
 
3.3%
4 108
5.5%
3 159
8.0%
2 243
12.3%

w1_G02_7
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of Pop or rock? (1) Never, (2) ... , (6) Very often

Distinct6
Distinct (%)0.5%
Missing782
Missing (%)39.5%
Infinite0
Infinite (%)0.0%
Mean3.60851419
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:40.639047image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.949100248
Coefficient of variation (CV)0.5401392775
Kurtosis-1.518805419
Mean3.60851419
Median Absolute Deviation (MAD)2
Skewness-0.1159967875
Sum4323
Variance3.798991775
MonotonicityNot monotonic
2025-02-26T17:43:40.678169image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6 317
16.0%
1 297
 
15.0%
4 166
 
8.4%
5 165
 
8.3%
3 129
 
6.5%
2 124
 
6.3%
(Missing) 782
39.5%
ValueCountFrequency (%)
1 297
15.0%
2 124
6.3%
3 129
6.5%
4 166
8.4%
5 165
8.3%
ValueCountFrequency (%)
6 317
16.0%
5 165
8.3%
4 166
8.4%
3 129
6.5%
2 124
 
6.3%

w1_G02_8
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of Jazz or blues? (1) Never, (2) ... , (6) Very often

Distinct6
Distinct (%)0.5%
Missing781
Missing (%)39.4%
Infinite0
Infinite (%)0.0%
Mean2.554628857
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:40.714525image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.700969921
Coefficient of variation (CV)0.6658383727
Kurtosis-0.7255193777
Mean2.554628857
Median Absolute Deviation (MAD)1
Skewness0.7640342696
Sum3063
Variance2.893298673
MonotonicityNot monotonic
2025-02-26T17:43:40.752800image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 495
25.0%
2 205
 
10.4%
3 152
 
7.7%
4 148
 
7.5%
6 115
 
5.8%
5 84
 
4.2%
(Missing) 781
39.4%
ValueCountFrequency (%)
1 495
25.0%
2 205
10.4%
3 152
 
7.7%
4 148
 
7.5%
5 84
 
4.2%
ValueCountFrequency (%)
6 115
5.8%
5 84
4.2%
4 148
7.5%
3 152
7.7%
2 205
10.4%

w1_G02_9
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of Folk music concert? (1) Never, (2) ... , (6) Very often

Distinct6
Distinct (%)0.5%
Missing784
Missing (%)39.6%
Infinite0
Infinite (%)0.0%
Mean2.035117057
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:40.788893image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.560636359
Coefficient of variation (CV)0.7668533628
Kurtosis0.655154389
Mean2.035117057
Median Absolute Deviation (MAD)0
Skewness1.394437372
Sum2434
Variance2.435585844
MonotonicityNot monotonic
2025-02-26T17:43:40.828435image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 705
35.6%
2 182
 
9.2%
3 87
 
4.4%
4 82
 
4.1%
6 76
 
3.8%
5 64
 
3.2%
(Missing) 784
39.6%
ValueCountFrequency (%)
1 705
35.6%
2 182
 
9.2%
3 87
 
4.4%
4 82
 
4.1%
5 64
 
3.2%
ValueCountFrequency (%)
6 76
3.8%
5 64
 
3.2%
4 82
4.1%
3 87
4.4%
2 182
9.2%

w1_G02_10
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of World music? (1) Never, (2) ... , (6) Very often

Distinct6
Distinct (%)0.5%
Missing787
Missing (%)39.7%
Infinite0
Infinite (%)0.0%
Mean2.57921207
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:40.865285image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.789408731
Coefficient of variation (CV)0.6937811557
Kurtosis-0.9019001032
Mean2.57921207
Median Absolute Deviation (MAD)1
Skewness0.7393381307
Sum3077
Variance3.201983607
MonotonicityNot monotonic
2025-02-26T17:43:40.902953image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 530
26.8%
2 172
 
8.7%
6 133
 
6.7%
3 131
 
6.6%
4 123
 
6.2%
5 104
 
5.3%
(Missing) 787
39.7%
ValueCountFrequency (%)
1 530
26.8%
2 172
 
8.7%
3 131
 
6.6%
4 123
 
6.2%
5 104
 
5.3%
ValueCountFrequency (%)
6 133
6.7%
5 104
5.3%
4 123
6.2%
3 131
6.6%
2 172
8.7%

w1_G02_11
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of Urban (rap, hip-hop, trap)? (1) Never, (2) ... , (6) Very often

Distinct6
Distinct (%)0.5%
Missing780
Missing (%)39.4%
Infinite0
Infinite (%)0.0%
Mean2.9925
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:40.939877image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.952935068
Coefficient of variation (CV)0.6526098807
Kurtosis-1.424772809
Mean2.9925
Median Absolute Deviation (MAD)1
Skewness0.4015241726
Sum3591
Variance3.813955379
MonotonicityNot monotonic
2025-02-26T17:43:40.977026image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 437
22.1%
6 222
 
11.2%
2 184
 
9.3%
5 130
 
6.6%
4 123
 
6.2%
3 104
 
5.3%
(Missing) 780
39.4%
ValueCountFrequency (%)
1 437
22.1%
2 184
9.3%
3 104
 
5.3%
4 123
 
6.2%
5 130
 
6.6%
ValueCountFrequency (%)
6 222
11.2%
5 130
6.6%
4 123
6.2%
3 104
5.3%
2 184
9.3%

w1_G02_12
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of Dance or house? (1) Never, (2) ... , (6) Very often

Distinct6
Distinct (%)0.5%
Missing786
Missing (%)39.7%
Infinite0
Infinite (%)0.0%
Mean2.531825796
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:41.014410image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.77466822
Coefficient of variation (CV)0.7009440473
Kurtosis-0.7722247606
Mean2.531825796
Median Absolute Deviation (MAD)1
Skewness0.8200254747
Sum3023
Variance3.149447292
MonotonicityNot monotonic
2025-02-26T17:43:41.052551image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 528
26.7%
2 206
 
10.4%
6 132
 
6.7%
3 124
 
6.3%
5 103
 
5.2%
4 101
 
5.1%
(Missing) 786
39.7%
ValueCountFrequency (%)
1 528
26.7%
2 206
 
10.4%
3 124
 
6.3%
4 101
 
5.1%
5 103
 
5.2%
ValueCountFrequency (%)
6 132
6.7%
5 103
5.2%
4 101
5.1%
3 124
6.3%
2 206
10.4%

w1_G02_13
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of Popular national or local music? (1) Never, (2) ... , (6) Very often

Distinct6
Distinct (%)0.5%
Missing783
Missing (%)39.5%
Infinite0
Infinite (%)0.0%
Mean2.775271512
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:41.088750image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.863787105
Coefficient of variation (CV)0.6715692849
Kurtosis-1.198811872
Mean2.775271512
Median Absolute Deviation (MAD)1
Skewness0.5582637254
Sum3322
Variance3.473702372
MonotonicityNot monotonic
2025-02-26T17:43:41.127396image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 486
24.5%
2 167
 
8.4%
6 164
 
8.3%
4 128
 
6.5%
3 127
 
6.4%
5 125
 
6.3%
(Missing) 783
39.5%
ValueCountFrequency (%)
1 486
24.5%
2 167
 
8.4%
3 127
 
6.4%
4 128
 
6.5%
5 125
 
6.3%
ValueCountFrequency (%)
6 164
8.3%
5 125
6.3%
4 128
6.5%
3 127
6.4%
2 167
8.4%

w1_G02_14
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of A singer/songwriter? (1) Never, (2) ... , (6) Very often

Distinct6
Distinct (%)0.5%
Missing782
Missing (%)39.5%
Infinite0
Infinite (%)0.0%
Mean3.376460768
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:41.163582image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.979682977
Coefficient of variation (CV)0.5863189633
Kurtosis-1.572692214
Mean3.376460768
Median Absolute Deviation (MAD)2
Skewness0.03720025592
Sum4045
Variance3.91914469
MonotonicityNot monotonic
2025-02-26T17:43:41.203231image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 373
18.8%
6 269
 
13.6%
5 173
 
8.7%
4 150
 
7.6%
3 127
 
6.4%
2 106
 
5.4%
(Missing) 782
39.5%
ValueCountFrequency (%)
1 373
18.8%
2 106
 
5.4%
3 127
 
6.4%
4 150
7.6%
5 173
8.7%
ValueCountFrequency (%)
6 269
13.6%
5 173
8.7%
4 150
7.6%
3 127
6.4%
2 106
 
5.4%

w1_G02_15
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of Other music? (1) Never, (2) ... , (6) Very often

Distinct6
Distinct (%)0.5%
Missing798
Missing (%)40.3%
Infinite0
Infinite (%)0.0%
Mean2.89678511
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:41.240089image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.955345651
Coefficient of variation (CV)0.6750054205
Kurtosis-1.393778597
Mean2.89678511
Median Absolute Deviation (MAD)1
Skewness0.4444478557
Sum3424
Variance3.823376616
MonotonicityNot monotonic
2025-02-26T17:43:41.278522image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 492
24.8%
6 199
 
10.1%
5 136
 
6.9%
3 130
 
6.6%
2 116
 
5.9%
4 109
 
5.5%
(Missing) 798
40.3%
ValueCountFrequency (%)
1 492
24.8%
2 116
 
5.9%
3 130
 
6.6%
4 109
 
5.5%
5 136
 
6.9%
ValueCountFrequency (%)
6 199
10.1%
5 136
6.9%
4 109
5.5%
3 130
6.6%
2 116
5.9%

w1_G02_16
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of A sport events? (1) Never, (2) ... , (6) Very often

Distinct6
Distinct (%)0.5%
Missing788
Missing (%)39.8%
Infinite0
Infinite (%)0.0%
Mean2.51761745
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:41.314608image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.74764566
Coefficient of variation (CV)0.6941664866
Kurtosis-0.6479427215
Mean2.51761745
Median Absolute Deviation (MAD)1
Skewness0.8525773876
Sum3001
Variance3.054265351
MonotonicityNot monotonic
2025-02-26T17:43:41.352284image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 518
26.2%
2 211
 
10.7%
6 136
 
6.9%
3 135
 
6.8%
4 120
 
6.1%
5 72
 
3.6%
(Missing) 788
39.8%
ValueCountFrequency (%)
1 518
26.2%
2 211
10.7%
3 135
 
6.8%
4 120
 
6.1%
5 72
 
3.6%
ValueCountFrequency (%)
6 136
6.9%
5 72
 
3.6%
4 120
6.1%
3 135
6.8%
2 211
10.7%

w1_G03_1
Real number (ℝ)

Missing 

Have you done any of the following activities during the last year or so?: Created paintings, drawings, graphical works (by hand) (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.4%
Missing827
Missing (%)41.8%
Infinite0
Infinite (%)0.0%
Mean3.582827407
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:41.389061image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.49662235
Coefficient of variation (CV)0.4177210286
Kurtosis-1.228294505
Mean3.582827407
Median Absolute Deviation (MAD)1
Skewness-0.5291564415
Sum4131
Variance2.239878457
MonotonicityNot monotonic
2025-02-26T17:43:41.429345image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 498
25.2%
2 172
 
8.7%
4 168
 
8.5%
1 160
 
8.1%
3 155
 
7.8%
(Missing) 827
41.8%
ValueCountFrequency (%)
1 160
 
8.1%
2 172
 
8.7%
3 155
 
7.8%
4 168
 
8.5%
5 498
25.2%
ValueCountFrequency (%)
5 498
25.2%
4 168
 
8.5%
3 155
 
7.8%
2 172
 
8.7%
1 160
 
8.1%

w1_G03_2
Real number (ℝ)

Missing 

Have you done any of the following activities during the last year or so?: Created photographs as a hobby (excluding family and/or holiday pictures) (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.4%
Missing828
Missing (%)41.8%
Infinite0
Infinite (%)0.0%
Mean3.434027778
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:41.469839image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.556072187
Coefficient of variation (CV)0.4531332558
Kurtosis-1.410823067
Mean3.434027778
Median Absolute Deviation (MAD)1
Skewness-0.3799939191
Sum3956
Variance2.421360653
MonotonicityNot monotonic
2025-02-26T17:43:41.510105image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 467
23.6%
1 204
 
10.3%
2 173
 
8.7%
3 161
 
8.1%
4 147
 
7.4%
(Missing) 828
41.8%
ValueCountFrequency (%)
1 204
10.3%
2 173
 
8.7%
3 161
 
8.1%
4 147
 
7.4%
5 467
23.6%
ValueCountFrequency (%)
5 467
23.6%
4 147
 
7.4%
3 161
 
8.1%
2 173
 
8.7%
1 204
10.3%

w1_G03_3
Real number (ℝ)

Missing 

Have you done any of the following activities during the last year or so?: Created sculptures, pottery, glass, jewels, textile works (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.4%
Missing840
Missing (%)42.4%
Infinite0
Infinite (%)0.0%
Mean4.38245614
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:41.549461image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.225013348
Coefficient of variation (CV)0.2795266646
Kurtosis1.911184239
Mean4.38245614
Median Absolute Deviation (MAD)0
Skewness-1.833772289
Sum4996
Variance1.500657702
MonotonicityNot monotonic
2025-02-26T17:43:41.590205image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 859
43.4%
4 78
 
3.9%
1 77
 
3.9%
2 66
 
3.3%
3 60
 
3.0%
(Missing) 840
42.4%
ValueCountFrequency (%)
1 77
 
3.9%
2 66
 
3.3%
3 60
 
3.0%
4 78
 
3.9%
5 859
43.4%
ValueCountFrequency (%)
5 859
43.4%
4 78
 
3.9%
3 60
 
3.0%
2 66
 
3.3%
1 77
 
3.9%

w1_G03_4
Real number (ℝ)

Missing 

Have you done any of the following activities during the last year or so?: Written any poetry, prose, fiction or non-fiction in your leisure time (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.4%
Missing835
Missing (%)42.2%
Infinite0
Infinite (%)0.0%
Mean3.856768559
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:41.629351image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.458789985
Coefficient of variation (CV)0.3782415156
Kurtosis-0.8067729044
Mean3.856768559
Median Absolute Deviation (MAD)0
Skewness-0.853692334
Sum4416
Variance2.12806822
MonotonicityNot monotonic
2025-02-26T17:43:41.670866image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 624
31.5%
2 136
 
6.9%
3 129
 
6.5%
1 129
 
6.5%
4 127
 
6.4%
(Missing) 835
42.2%
ValueCountFrequency (%)
1 129
 
6.5%
2 136
 
6.9%
3 129
 
6.5%
4 127
 
6.4%
5 624
31.5%
ValueCountFrequency (%)
5 624
31.5%
4 127
 
6.4%
3 129
 
6.5%
2 136
 
6.9%
1 129
 
6.5%

w1_G03_5
Real number (ℝ)

Missing 

Have you done any of the following activities during the last year or so?: Had a blog or an own website on the internet (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.4%
Missing835
Missing (%)42.2%
Infinite0
Infinite (%)0.0%
Mean4.143231441
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:41.710939image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.398210033
Coefficient of variation (CV)0.337468484
Kurtosis0.2247833496
Mean4.143231441
Median Absolute Deviation (MAD)0
Skewness-1.344283337
Sum4744
Variance1.954991297
MonotonicityNot monotonic
2025-02-26T17:43:41.750487image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 766
38.7%
1 120
 
6.1%
4 103
 
5.2%
2 86
 
4.3%
3 70
 
3.5%
(Missing) 835
42.2%
ValueCountFrequency (%)
1 120
 
6.1%
2 86
 
4.3%
3 70
 
3.5%
4 103
 
5.2%
5 766
38.7%
ValueCountFrequency (%)
5 766
38.7%
4 103
 
5.2%
3 70
 
3.5%
2 86
 
4.3%
1 120
 
6.1%

w1_G03_6
Real number (ℝ)

Missing 

Have you done any of the following activities during the last year or so?: Published your own work (novel) on paper (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.4%
Missing836
Missing (%)42.2%
Infinite0
Infinite (%)0.0%
Mean4.647727273
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:41.790346image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.019080475
Coefficient of variation (CV)0.2192642586
Kurtosis7.099894474
Mean4.647727273
Median Absolute Deviation (MAD)0
Skewness-2.910402403
Sum5317
Variance1.038525014
MonotonicityNot monotonic
2025-02-26T17:43:41.830409image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 995
50.3%
1 64
 
3.2%
4 40
 
2.0%
3 28
 
1.4%
2 17
 
0.9%
(Missing) 836
42.2%
ValueCountFrequency (%)
1 64
 
3.2%
2 17
 
0.9%
3 28
 
1.4%
4 40
 
2.0%
5 995
50.3%
ValueCountFrequency (%)
5 995
50.3%
4 40
 
2.0%
3 28
 
1.4%
2 17
 
0.9%
1 64
 
3.2%

w1_G03_7
Real number (ℝ)

Missing 

Have you done any of the following activities during the last year or so?: Published your own work (novel) in whatever form on the internet (including weblogs, ezines, and other internet publications) (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.4%
Missing837
Missing (%)42.3%
Infinite0
Infinite (%)0.0%
Mean4.442694663
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:41.870785image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.215053169
Coefficient of variation (CV)0.2734946381
Kurtosis2.549849322
Mean4.442694663
Median Absolute Deviation (MAD)0
Skewness-2.019720601
Sum5078
Variance1.476354204
MonotonicityNot monotonic
2025-02-26T17:43:41.910329image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 907
45.8%
1 82
 
4.1%
2 55
 
2.8%
4 54
 
2.7%
3 45
 
2.3%
(Missing) 837
42.3%
ValueCountFrequency (%)
1 82
 
4.1%
2 55
 
2.8%
3 45
 
2.3%
4 54
 
2.7%
5 907
45.8%
ValueCountFrequency (%)
5 907
45.8%
4 54
 
2.7%
3 45
 
2.3%
2 55
 
2.8%
1 82
 
4.1%

w1_G03_8
Real number (ℝ)

Missing 

Have you done any of the following activities during the last year or so?: Uploaded your own film(s) or video(s) on the internet (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.4%
Missing833
Missing (%)42.1%
Infinite0
Infinite (%)0.0%
Mean4.385353095
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:41.949415image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.210654393
Coefficient of variation (CV)0.2760677115
Kurtosis2.031737249
Mean4.385353095
Median Absolute Deviation (MAD)0
Skewness-1.852962848
Sum5030
Variance1.465684059
MonotonicityNot monotonic
2025-02-26T17:43:41.990156image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 856
43.2%
4 91
 
4.6%
1 76
 
3.8%
3 62
 
3.1%
2 62
 
3.1%
(Missing) 833
42.1%
ValueCountFrequency (%)
1 76
 
3.8%
2 62
 
3.1%
3 62
 
3.1%
4 91
 
4.6%
5 856
43.2%
ValueCountFrequency (%)
5 856
43.2%
4 91
 
4.6%
3 62
 
3.1%
2 62
 
3.1%
1 76
 
3.8%

w1_G03_9
Real number (ℝ)

Missing 

Have you done any of the following activities during the last year or so?: Uploaded images of your work of visual arts and crafts on the internet (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.4%
Missing837
Missing (%)42.3%
Infinite0
Infinite (%)0.0%
Mean4.19160105
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:42.030107image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.377527726
Coefficient of variation (CV)0.3286399897
Kurtosis0.4247306213
Mean4.19160105
Median Absolute Deviation (MAD)0
Skewness-1.418374214
Sum4791
Variance1.897582636
MonotonicityNot monotonic
2025-02-26T17:43:42.070513image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 794
40.1%
1 112
 
5.7%
2 84
 
4.2%
4 82
 
4.1%
3 71
 
3.6%
(Missing) 837
42.3%
ValueCountFrequency (%)
1 112
 
5.7%
2 84
 
4.2%
3 71
 
3.6%
4 82
 
4.1%
5 794
40.1%
ValueCountFrequency (%)
5 794
40.1%
4 82
 
4.1%
3 71
 
3.6%
2 84
 
4.2%
1 112
 
5.7%

w1_G03_10
Real number (ℝ)

Missing 

Have you done any of the following activities during the last year or so?: Uploaded either your own performance or performance of your company, ensemble, or group on the internet (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.4%
Missing837
Missing (%)42.3%
Infinite0
Infinite (%)0.0%
Mean4.470691164
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:42.109615image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.182463869
Coefficient of variation (CV)0.2644924074
Kurtosis2.871506995
Mean4.470691164
Median Absolute Deviation (MAD)0
Skewness-2.088238957
Sum5110
Variance1.3982208
MonotonicityNot monotonic
2025-02-26T17:43:42.149025image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 918
46.4%
1 74
 
3.7%
2 54
 
2.7%
3 50
 
2.5%
4 47
 
2.4%
(Missing) 837
42.3%
ValueCountFrequency (%)
1 74
 
3.7%
2 54
 
2.7%
3 50
 
2.5%
4 47
 
2.4%
5 918
46.4%
ValueCountFrequency (%)
5 918
46.4%
4 47
 
2.4%
3 50
 
2.5%
2 54
 
2.7%
1 74
 
3.7%

w1_G04_1
Real number (ℝ)

Missing 

During the last year or so... Did you view paintings, drawings, graphical works, photos, and sculptures, products of crafts or virtual exhibitions of visual arts or crafts (on the internet or other media)? (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.4%
Missing827
Missing (%)41.8%
Infinite0
Infinite (%)0.0%
Mean2.681699913
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:42.188890image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.425884188
Coefficient of variation (CV)0.531709078
Kurtosis-1.196635229
Mean2.681699913
Median Absolute Deviation (MAD)1
Skewness0.327165743
Sum3092
Variance2.033145719
MonotonicityNot monotonic
2025-02-26T17:43:42.229575image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 325
 
16.4%
2 249
 
12.6%
3 236
 
11.9%
5 189
 
9.5%
4 154
 
7.8%
(Missing) 827
41.8%
ValueCountFrequency (%)
1 325
16.4%
2 249
12.6%
3 236
11.9%
4 154
7.8%
5 189
9.5%
ValueCountFrequency (%)
5 189
9.5%
4 154
7.8%
3 236
11.9%
2 249
12.6%
1 325
16.4%

w1_G04_2
Real number (ℝ)

Missing 

During the last year or so... Did you view or listen to a programme about visual arts and crafts (on television, radio, video, DVD, internet, or other media)? (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.4%
Missing831
Missing (%)42.0%
Infinite0
Infinite (%)0.0%
Mean3.244560487
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:42.339041image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.505587301
Coefficient of variation (CV)0.4640342835
Kurtosis-1.404685243
Mean3.244560487
Median Absolute Deviation (MAD)1
Skewness-0.2181079076
Sum3728
Variance2.266793121
MonotonicityNot monotonic
2025-02-26T17:43:42.380460image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 351
17.7%
1 219
 
11.1%
4 204
 
10.3%
3 188
 
9.5%
2 187
 
9.4%
(Missing) 831
42.0%
ValueCountFrequency (%)
1 219
11.1%
2 187
9.4%
3 188
9.5%
4 204
10.3%
5 351
17.7%
ValueCountFrequency (%)
5 351
17.7%
4 204
10.3%
3 188
9.5%
2 187
9.4%
1 219
11.1%

w1_G04_3
Real number (ℝ)

Missing 

During the last year or so... Did you visit a museum in your own country or abroad? (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.4%
Missing829
Missing (%)41.9%
Infinite0
Infinite (%)0.0%
Mean2.809730669
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:42.420677image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.347245504
Coefficient of variation (CV)0.4794927568
Kurtosis-1.12175968
Mean2.809730669
Median Absolute Deviation (MAD)1
Skewness0.2295453056
Sum3234
Variance1.815070449
MonotonicityNot monotonic
2025-02-26T17:43:42.462053image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 294
 
14.8%
3 258
 
13.0%
1 234
 
11.8%
4 187
 
9.4%
5 178
 
9.0%
(Missing) 829
41.9%
ValueCountFrequency (%)
1 234
11.8%
2 294
14.8%
3 258
13.0%
4 187
9.4%
5 178
9.0%
ValueCountFrequency (%)
5 178
9.0%
4 187
9.4%
3 258
13.0%
2 294
14.8%
1 234
11.8%

w1_G04_4
Real number (ℝ)

Missing 

During the last year or so... Did you visit galleries or exhibitions in your own country or abroad? (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.4%
Missing834
Missing (%)42.1%
Infinite0
Infinite (%)0.0%
Mean2.906631763
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:42.502094image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.378249506
Coefficient of variation (CV)0.4741741022
Kurtosis-1.226421528
Mean2.906631763
Median Absolute Deviation (MAD)1
Skewness0.1240322173
Sum3331
Variance1.899571702
MonotonicityNot monotonic
2025-02-26T17:43:42.543105image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 272
 
13.7%
3 239
 
12.1%
1 224
 
11.3%
4 209
 
10.6%
5 202
 
10.2%
(Missing) 834
42.1%
ValueCountFrequency (%)
1 224
11.3%
2 272
13.7%
3 239
12.1%
4 209
10.6%
5 202
10.2%
ValueCountFrequency (%)
5 202
10.2%
4 209
10.6%
3 239
12.1%
2 272
13.7%
1 224
11.3%

w1_G04_5
Real number (ℝ)

Missing 

During the last year or so... Did you visit monuments, historical or artistic places, famous buildings or archaeological sites in your own country or abroad? (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.4%
Missing829
Missing (%)41.9%
Infinite0
Infinite (%)0.0%
Mean2.706342311
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:42.582510image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.328203658
Coefficient of variation (CV)0.4907744496
Kurtosis-1.036854112
Mean2.706342311
Median Absolute Deviation (MAD)1
Skewness0.317638238
Sum3115
Variance1.764124958
MonotonicityNot monotonic
2025-02-26T17:43:42.623770image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 305
 
15.4%
3 259
 
13.1%
1 258
 
13.0%
4 175
 
8.8%
5 154
 
7.8%
(Missing) 829
41.9%
ValueCountFrequency (%)
1 258
13.0%
2 305
15.4%
3 259
13.1%
4 175
8.8%
5 154
7.8%
ValueCountFrequency (%)
5 154
7.8%
4 175
8.8%
3 259
13.1%
2 305
15.4%
1 258
13.0%

w1_G04_6
Real number (ℝ)

Missing 

During the last year or so... Did you view virtual exhibitions of art or any kind of museum objects, monuments, historical or artistic places, buildings or sites (on the internet or other media)? (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.4%
Missing828
Missing (%)41.8%
Infinite0
Infinite (%)0.0%
Mean3.5390625
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:42.663580image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.496082979
Coefficient of variation (CV)0.4227342635
Kurtosis-1.207556503
Mean3.5390625
Median Absolute Deviation (MAD)1
Skewness-0.5082991697
Sum4077
Variance2.238264281
MonotonicityNot monotonic
2025-02-26T17:43:42.703676image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 472
23.8%
3 188
 
9.5%
1 177
 
8.9%
4 173
 
8.7%
2 142
 
7.2%
(Missing) 828
41.8%
ValueCountFrequency (%)
1 177
 
8.9%
2 142
 
7.2%
3 188
 
9.5%
4 173
 
8.7%
5 472
23.8%
ValueCountFrequency (%)
5 472
23.8%
4 173
 
8.7%
3 188
 
9.5%
2 142
 
7.2%
1 177
 
8.9%

w1_G04_7
Real number (ℝ)

Missing 

During the last year or so... Did you make at least one film or one video as an artistic hobby (thus excluding family and holidays films or videos)? (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.4%
Missing834
Missing (%)42.1%
Infinite0
Infinite (%)0.0%
Mean4.321989529
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:42.742654image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.280756417
Coefficient of variation (CV)0.296334919
Kurtosis1.568104683
Mean4.321989529
Median Absolute Deviation (MAD)0
Skewness-1.744690187
Sum4953
Variance1.640336999
MonotonicityNot monotonic
2025-02-26T17:43:42.782131image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 832
42.0%
4 102
 
5.2%
1 100
 
5.1%
3 61
 
3.1%
2 51
 
2.6%
(Missing) 834
42.1%
ValueCountFrequency (%)
1 100
 
5.1%
2 51
 
2.6%
3 61
 
3.1%
4 102
 
5.2%
5 832
42.0%
ValueCountFrequency (%)
5 832
42.0%
4 102
 
5.2%
3 61
 
3.1%
2 51
 
2.6%
1 100
 
5.1%

w1_G04_8
Real number (ℝ)

Missing 

During the last year or so... Did you go to the cinema or a film festival in your own country? (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.4%
Missing827
Missing (%)41.8%
Infinite0
Infinite (%)0.0%
Mean2.954032958
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:42.821970image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.478011211
Coefficient of variation (CV)0.5003367372
Kurtosis-1.374183338
Mean2.954032958
Median Absolute Deviation (MAD)1
Skewness0.1276977151
Sum3406
Variance2.184517141
MonotonicityNot monotonic
2025-02-26T17:43:42.861963image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 280
 
14.1%
2 256
 
12.9%
1 250
 
12.6%
3 224
 
11.3%
4 143
 
7.2%
(Missing) 827
41.8%
ValueCountFrequency (%)
1 250
12.6%
2 256
12.9%
3 224
11.3%
4 143
7.2%
5 280
14.1%
ValueCountFrequency (%)
5 280
14.1%
4 143
7.2%
3 224
11.3%
2 256
12.9%
1 250
12.6%

w1_G04_9
Real number (ℝ)

Missing 

During the last year or so... Did you visit a zoo or animal park? (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.4%
Missing831
Missing (%)42.0%
Infinite0
Infinite (%)0.0%
Mean4.069625762
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:42.902113image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.30678674
Coefficient of variation (CV)0.3211073491
Kurtosis0.02808058585
Mean4.069625762
Median Absolute Deviation (MAD)0
Skewness-1.170670121
Sum4676
Variance1.707691585
MonotonicityNot monotonic
2025-02-26T17:43:42.942768image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 664
33.5%
4 175
 
8.8%
3 121
 
6.1%
2 104
 
5.3%
1 85
 
4.3%
(Missing) 831
42.0%
ValueCountFrequency (%)
1 85
 
4.3%
2 104
 
5.3%
3 121
 
6.1%
4 175
 
8.8%
5 664
33.5%
ValueCountFrequency (%)
5 664
33.5%
4 175
 
8.8%
3 121
 
6.1%
2 104
 
5.3%
1 85
 
4.3%

w1_G04_10
Real number (ℝ)

Missing 

During the last year or so... Did you visit a natural reserve? (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.4%
Missing828
Missing (%)41.8%
Infinite0
Infinite (%)0.0%
Mean3.3984375
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:42.982742image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.470272228
Coefficient of variation (CV)0.4326318279
Kurtosis-1.323706301
Mean3.3984375
Median Absolute Deviation (MAD)1
Skewness-0.3159884024
Sum3915
Variance2.161700424
MonotonicityNot monotonic
2025-02-26T17:43:43.023702image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 407
20.6%
3 206
 
10.4%
2 195
 
9.8%
4 176
 
8.9%
1 168
 
8.5%
(Missing) 828
41.8%
ValueCountFrequency (%)
1 168
8.5%
2 195
9.8%
3 206
10.4%
4 176
8.9%
5 407
20.6%
ValueCountFrequency (%)
5 407
20.6%
4 176
8.9%
3 206
10.4%
2 195
9.8%
1 168
8.5%

w1_G05_1
Real number (ℝ)

Missing 

During the last year or so... How often did you visit a bookshop in your own country or abroad? 1. Never, 2., 3., 4., 5., 6. Very often

Distinct6
Distinct (%)0.5%
Missing845
Missing (%)42.7%
Infinite0
Infinite (%)0.0%
Mean3.785903084
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:43.063803image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.715417805
Coefficient of variation (CV)0.4531066345
Kurtosis-1.313983389
Mean3.785903084
Median Absolute Deviation (MAD)2
Skewness-0.0413973795
Sum4297
Variance2.942658245
MonotonicityNot monotonic
2025-02-26T17:43:43.102959image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6 302
 
15.3%
3 218
 
11.0%
2 204
 
10.3%
4 176
 
8.9%
5 121
 
6.1%
1 114
 
5.8%
(Missing) 845
42.7%
ValueCountFrequency (%)
1 114
5.8%
2 204
10.3%
3 218
11.0%
4 176
8.9%
5 121
6.1%
ValueCountFrequency (%)
6 302
15.3%
5 121
6.1%
4 176
8.9%
3 218
11.0%
2 204
10.3%

w1_G05_2
Real number (ℝ)

Missing 

During the last year or so... How often did you visit an online bookshop and/or search for literature and other material available in a library on the internet? 1. Never, 2., 3., 4., 5., 6. Very often

Distinct6
Distinct (%)0.5%
Missing852
Missing (%)43.0%
Infinite0
Infinite (%)0.0%
Mean4.266843972
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:43.139496image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.67995647
Coefficient of variation (CV)0.393723436
Kurtosis-1.064494595
Mean4.266843972
Median Absolute Deviation (MAD)1
Skewness-0.491320444
Sum4813
Variance2.82225374
MonotonicityNot monotonic
2025-02-26T17:43:43.177392image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6 412
20.8%
4 172
 
8.7%
3 171
 
8.6%
5 160
 
8.1%
2 127
 
6.4%
1 86
 
4.3%
(Missing) 852
43.0%
ValueCountFrequency (%)
1 86
4.3%
2 127
6.4%
3 171
8.6%
4 172
8.7%
5 160
8.1%
ValueCountFrequency (%)
6 412
20.8%
5 160
 
8.1%
4 172
8.7%
3 171
8.6%
2 127
 
6.4%

w1_G06
Real number (ℝ)

Missing 

Approximately, how many books (printed or eBook) do you have where you live? 1. None 2. 1-25 3. 26-50 4. 51-100 5. 101-200 6. 201-400 7. More than 400

Distinct7
Distinct (%)0.6%
Missing861
Missing (%)43.5%
Infinite0
Infinite (%)0.0%
Mean3.465594281
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:43.210917image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median3
Q35
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.653430699
Coefficient of variation (CV)0.4770987499
Kurtosis-0.5138554331
Mean3.465594281
Median Absolute Deviation (MAD)1
Skewness0.806988116
Sum3878
Variance2.733833077
MonotonicityNot monotonic
2025-02-26T17:43:43.246281image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 437
22.1%
3 215
 
10.9%
4 168
 
8.5%
5 106
 
5.4%
7 89
 
4.5%
6 86
 
4.3%
1 18
 
0.9%
(Missing) 861
43.5%
ValueCountFrequency (%)
1 18
 
0.9%
2 437
22.1%
3 215
10.9%
4 168
 
8.5%
5 106
 
5.4%
ValueCountFrequency (%)
7 89
4.5%
6 86
 
4.3%
5 106
5.4%
4 168
8.5%
3 215
10.9%

w1_G07_1
Real number (ℝ)

Missing 

During the last year or so... Did you read a printed book in your leisure time? [If YES go to G17] (1) Yes; (2) No

Distinct2
Distinct (%)0.2%
Missing819
Missing (%)41.4%
Infinite0
Infinite (%)0.0%
Mean1.121447028
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:43.283893image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3267868242
Coefficient of variation (CV)0.2913974676
Kurtosis3.392031988
Mean1.121447028
Median Absolute Deviation (MAD)0
Skewness2.320817023
Sum1302
Variance0.1067896284
MonotonicityNot monotonic
2025-02-26T17:43:43.321061image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 1020
51.5%
2 141
 
7.1%
(Missing) 819
41.4%
ValueCountFrequency (%)
1 1020
51.5%
2 141
 
7.1%
ValueCountFrequency (%)
2 141
 
7.1%
1 1020
51.5%

w1_G07_2
Real number (ℝ)

Missing 

During the last year or so... Did you read a book in digital form (i.e., on the internet, downloaded from the internet) in your leisure time? [If YES go to G17] (1) Yes; (2) No

Distinct2
Distinct (%)0.2%
Missing819
Missing (%)41.4%
Infinite0
Infinite (%)0.0%
Mean1.309216193
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:43.358074image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4623696338
Coefficient of variation (CV)0.3531652268
Kurtosis-1.318895432
Mean1.309216193
Median Absolute Deviation (MAD)0
Skewness0.826667733
Sum1520
Variance0.2137856782
MonotonicityNot monotonic
2025-02-26T17:43:43.396007image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 802
40.5%
2 359
18.1%
(Missing) 819
41.4%
ValueCountFrequency (%)
1 802
40.5%
2 359
18.1%
ValueCountFrequency (%)
2 359
18.1%
1 802
40.5%

w1_G08_1
Boolean

Which kind of books did you read? (tick all that apply): Literature & Novels

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
False
1139 
True
841 
ValueCountFrequency (%)
False 1139
57.5%
True 841
42.5%
2025-02-26T17:43:43.432309image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_G08_2
Boolean

Which kind of books did you read? (tick all that apply): Science Fiction & Fantasy

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
False
1642 
True
338 
ValueCountFrequency (%)
False 1642
82.9%
True 338
 
17.1%
2025-02-26T17:43:43.467617image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_G08_3
Boolean

Which kind of books did you read? (tick all that apply): Mystery & Thrillers

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
False
1696 
True
284 
ValueCountFrequency (%)
False 1696
85.7%
True 284
 
14.3%
2025-02-26T17:43:43.502320image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_G08_4
Boolean

Which kind of books did you read? (tick all that apply): History

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
False
1563 
True
417 
ValueCountFrequency (%)
False 1563
78.9%
True 417
 
21.1%
2025-02-26T17:43:43.538066image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_G08_5
Boolean

Which kind of books did you read? (tick all that apply): Biographies

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
False
1688 
True
292 
ValueCountFrequency (%)
False 1688
85.3%
True 292
 
14.7%
2025-02-26T17:43:43.572700image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_G08_6
Boolean

Which kind of books did you read? (tick all that apply): Health, Mind & Body

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
False
1742 
True
238 
ValueCountFrequency (%)
False 1742
88.0%
True 238
 
12.0%
2025-02-26T17:43:43.607156image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_G08_7
Boolean

Which kind of books did you read? (tick all that apply): Other kind of books

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
False
1544 
True
436 
ValueCountFrequency (%)
False 1544
78.0%
True 436
 
22.0%
2025-02-26T17:43:43.642632image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_G09
Real number (ℝ)

Missing 

In the last year or so, approximately how many books have you read (not for study)? |__|__|

Distinct48
Distinct (%)4.9%
Missing1000
Missing (%)50.5%
Infinite0
Infinite (%)0.0%
Mean13.01122449
Minimum0
Maximum290
Zeros4
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:43.683745image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14
median7
Q315
95-th percentile50
Maximum290
Range290
Interquartile range (IQR)11

Descriptive statistics

Standard deviation19.53308073
Coefficient of variation (CV)1.50124846
Kurtosis61.44824808
Mean13.01122449
Median Absolute Deviation (MAD)3
Skewness6.212007469
Sum12751
Variance381.5412426
MonotonicityNot monotonic
2025-02-26T17:43:43.734308image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
5 174
 
8.8%
10 134
 
6.8%
3 85
 
4.3%
2 81
 
4.1%
20 71
 
3.6%
4 65
 
3.3%
15 49
 
2.5%
6 49
 
2.5%
8 36
 
1.8%
30 34
 
1.7%
Other values (38) 202
 
10.2%
(Missing) 1000
50.5%
ValueCountFrequency (%)
0 4
 
0.2%
1 23
 
1.2%
2 81
4.1%
3 85
4.3%
4 65
3.3%
ValueCountFrequency (%)
290 1
 
0.1%
200 1
 
0.1%
180 1
 
0.1%
150 2
 
0.1%
100 6
0.3%

w1_G10_1
Real number (ℝ)

Missing 

Do you read printed magazines and/or periodicals in your leisure time? (1) At least five times a week, (2) Every week or almost every week, (3) Few times a month, (4) Once a month, (5) Less often, (6) Never

Distinct6
Distinct (%)0.5%
Missing872
Missing (%)44.0%
Infinite0
Infinite (%)0.0%
Mean4.612815884
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:43.776022image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13.75
median5
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation1.471468493
Coefficient of variation (CV)0.3189957132
Kurtosis-0.5298217294
Mean4.612815884
Median Absolute Deviation (MAD)1
Skewness-0.8380874959
Sum5111
Variance2.165219525
MonotonicityNot monotonic
2025-02-26T17:43:43.813975image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6 405
20.5%
5 325
 
16.4%
3 125
 
6.3%
2 125
 
6.3%
4 101
 
5.1%
1 27
 
1.4%
(Missing) 872
44.0%
ValueCountFrequency (%)
1 27
 
1.4%
2 125
 
6.3%
3 125
 
6.3%
4 101
 
5.1%
5 325
16.4%
ValueCountFrequency (%)
6 405
20.5%
5 325
16.4%
4 101
 
5.1%
3 125
 
6.3%
2 125
 
6.3%

w1_G10_2
Real number (ℝ)

Missing 

Do you read magazines and/or periodicals in digital form (i.e., on the internet, downloaded from the internet) in your leisure time? (1) At least five times a week, (2) Every week or almost every week, (3) Few times a month, (4) Once a month, (5) Less often, (6) Never

Distinct6
Distinct (%)0.5%
Missing870
Missing (%)43.9%
Infinite0
Infinite (%)0.0%
Mean3.81981982
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:43.849850image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.712407373
Coefficient of variation (CV)0.4482953265
Kurtosis-1.368838656
Mean3.81981982
Median Absolute Deviation (MAD)2
Skewness-0.1481813314
Sum4240
Variance2.932339012
MonotonicityNot monotonic
2025-02-26T17:43:43.888399image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6 255
 
12.9%
5 234
 
11.8%
2 221
 
11.2%
3 178
 
9.0%
4 114
 
5.8%
1 108
 
5.5%
(Missing) 870
43.9%
ValueCountFrequency (%)
1 108
5.5%
2 221
11.2%
3 178
9.0%
4 114
5.8%
5 234
11.8%
ValueCountFrequency (%)
6 255
12.9%
5 234
11.8%
4 114
5.8%
3 178
9.0%
2 221
11.2%

w1_G10_3
Real number (ℝ)

Missing 

Do you read printed newspapers? (1) At least five times a week, (2) Every week or almost every week, (3) Few times a month, (4) Once a month, (5) Less often, (6) Never

Distinct6
Distinct (%)0.5%
Missing871
Missing (%)44.0%
Infinite0
Infinite (%)0.0%
Mean4.777276826
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:43.924471image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.480921808
Coefficient of variation (CV)0.3099928812
Kurtosis0.1405394766
Mean4.777276826
Median Absolute Deviation (MAD)1
Skewness-1.116636172
Sum5298
Variance2.193129401
MonotonicityNot monotonic
2025-02-26T17:43:43.962338image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6 490
24.7%
5 290
 
14.6%
3 116
 
5.9%
4 92
 
4.6%
2 71
 
3.6%
1 50
 
2.5%
(Missing) 871
44.0%
ValueCountFrequency (%)
1 50
 
2.5%
2 71
 
3.6%
3 116
 
5.9%
4 92
 
4.6%
5 290
14.6%
ValueCountFrequency (%)
6 490
24.7%
5 290
14.6%
4 92
 
4.6%
3 116
 
5.9%
2 71
 
3.6%

w1_G10_4
Real number (ℝ)

Missing 

Do you read newspapers in digital form (i.e., on the internet, downloaded from the internet)? (1) At least five times a week, (2) Every week or almost every week, (3) Few times a month, (4) Once a month, (5) Less often, (6) Never

Distinct6
Distinct (%)0.5%
Missing867
Missing (%)43.8%
Infinite0
Infinite (%)0.0%
Mean2.517520216
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:43.999347image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.669636898
Coefficient of variation (CV)0.6632069476
Kurtosis-0.4183182003
Mean2.517520216
Median Absolute Deviation (MAD)1
Skewness0.9373870104
Sum2802
Variance2.78768737
MonotonicityNot monotonic
2025-02-26T17:43:44.037198image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 407
20.6%
2 302
 
15.3%
3 140
 
7.1%
6 110
 
5.6%
5 95
 
4.8%
4 59
 
3.0%
(Missing) 867
43.8%
ValueCountFrequency (%)
1 407
20.6%
2 302
15.3%
3 140
 
7.1%
4 59
 
3.0%
5 95
 
4.8%
ValueCountFrequency (%)
6 110
 
5.6%
5 95
 
4.8%
4 59
 
3.0%
3 140
7.1%
2 302
15.3%

w1_G11_1
Real number (ℝ)

Missing 

Do you watch films on television, videos, DVD, internet, or other media? (1) Every day or almost every day, (2) Few times a week, (3) Few times a month, (4) Less than once a month, (5) Never

Distinct5
Distinct (%)0.4%
Missing861
Missing (%)43.5%
Infinite0
Infinite (%)0.0%
Mean1.989276139
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:44.074522image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.022060475
Coefficient of variation (CV)0.5137851176
Kurtosis0.697552469
Mean1.989276139
Median Absolute Deviation (MAD)1
Skewness1.043702777
Sum2226
Variance1.044607615
MonotonicityNot monotonic
2025-02-26T17:43:44.114116image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 422
21.3%
2 420
21.2%
3 179
 
9.0%
4 63
 
3.2%
5 35
 
1.8%
(Missing) 861
43.5%
ValueCountFrequency (%)
1 422
21.3%
2 420
21.2%
3 179
9.0%
4 63
 
3.2%
5 35
 
1.8%
ValueCountFrequency (%)
5 35
 
1.8%
4 63
 
3.2%
3 179
9.0%
2 420
21.2%
1 422
21.3%

w1_G11_2
Real number (ℝ)

Missing 

Do you download films from the internet? (1) Every day or almost every day, (2) Few times a week, (3) Few times a month, (4) Less than once a month, (5) Never

Distinct5
Distinct (%)0.4%
Missing865
Missing (%)43.7%
Infinite0
Infinite (%)0.0%
Mean3.637668161
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:44.153260image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.281556062
Coefficient of variation (CV)0.3523015309
Kurtosis-0.8301820377
Mean3.637668161
Median Absolute Deviation (MAD)1
Skewness-0.5819885899
Sum4056
Variance1.64238594
MonotonicityNot monotonic
2025-02-26T17:43:44.195371image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 368
18.6%
4 311
 
15.7%
3 182
 
9.2%
2 172
 
8.7%
1 82
 
4.1%
(Missing) 865
43.7%
ValueCountFrequency (%)
1 82
 
4.1%
2 172
8.7%
3 182
9.2%
4 311
15.7%
5 368
18.6%
ValueCountFrequency (%)
5 368
18.6%
4 311
15.7%
3 182
9.2%
2 172
8.7%
1 82
 
4.1%

w1_H01f
Unsupported

Missing  Rejected  Unsupported 

Which is/was the highest educational level of your father or guardian …? 1. Primary education 2. Lower secondary education 3. Upper secondary education 4. Post-secondary non-tertiary education 5. First stage of tertiary education (undergraduate qualification: BA) 6. Second stage of tertiary education (graduate degree qualification: MA) 7. Higher tertiary education (post-graduate degree qualification: Doctoral degree) 8. Prefer not to say 9. Don’t know 10. Other, please specify: _____

Missing1980
Missing (%)100.0%
Memory size17.5 KiB

w1_H01f_other
Unsupported

Missing  Rejected  Unsupported 

Which is/was the highest educational level of your father or guardian …? Answer: Other, please specify: _____

Missing1980
Missing (%)100.0%
Memory size15.8 KiB

w1_H01m
Unsupported

Missing  Rejected  Unsupported 

Which is/was the highest educational level of your father or guardian …? 1. Primary education 2. Lower secondary education 3. Upper secondary education 4. Post-secondary non-tertiary education 5. First stage of tertiary education (undergraduate qualification: BA) 6. Second stage of tertiary education (graduate degree qualification: MA) 7. Higher tertiary education (post-graduate degree qualification: Doctoral degree) 8. Prefer not to say 9. Don’t know 10. Other, please specify: _____

Missing1980
Missing (%)100.0%
Memory size17.5 KiB

w1_H01m_other
Unsupported

Missing  Rejected  Unsupported 

Which is/was the highest educational level of your mother or guardian …? Answer: Other, please specify: _____

Missing1980
Missing (%)100.0%
Memory size15.8 KiB

w1_H01fLSE
Real number (ℝ)

Missing 

Distinct11
Distinct (%)1.0%
Missing859
Missing (%)43.4%
Infinite0
Infinite (%)0.0%
Mean6.404103479
Minimum1
Maximum11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:44.236888image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q16
median6
Q37
95-th percentile10
Maximum11
Range10
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.85114374
Coefficient of variation (CV)0.2890558758
Kurtosis1.064331597
Mean6.404103479
Median Absolute Deviation (MAD)1
Skewness-0.009553259369
Sum7179
Variance3.426733146
MonotonicityNot monotonic
2025-02-26T17:43:44.274268image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
6 382
19.3%
7 314
 
15.9%
8 113
 
5.7%
4 74
 
3.7%
5 55
 
2.8%
3 48
 
2.4%
11 44
 
2.2%
10 33
 
1.7%
2 30
 
1.5%
9 21
 
1.1%
(Missing) 859
43.4%
ValueCountFrequency (%)
1 7
 
0.4%
2 30
1.5%
3 48
2.4%
4 74
3.7%
5 55
2.8%
ValueCountFrequency (%)
11 44
 
2.2%
10 33
 
1.7%
9 21
 
1.1%
8 113
 
5.7%
7 314
15.9%

w1_H01mLSE
Real number (ℝ)

Missing 

Distinct11
Distinct (%)1.0%
Missing859
Missing (%)43.4%
Infinite0
Infinite (%)0.0%
Mean6.218554862
Minimum1
Maximum11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:44.310273image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q16
median6
Q37
95-th percentile10
Maximum11
Range10
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.801649556
Coefficient of variation (CV)0.2897215827
Kurtosis1.148330229
Mean6.218554862
Median Absolute Deviation (MAD)1
Skewness0.02717272931
Sum6971
Variance3.245941124
MonotonicityNot monotonic
2025-02-26T17:43:44.347741image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
6 408
20.6%
7 293
 
14.8%
4 87
 
4.4%
5 84
 
4.2%
8 75
 
3.8%
3 43
 
2.2%
2 35
 
1.8%
10 35
 
1.8%
11 31
 
1.6%
9 23
 
1.2%
(Missing) 859
43.4%
ValueCountFrequency (%)
1 7
 
0.4%
2 35
1.8%
3 43
2.2%
4 87
4.4%
5 84
4.2%
ValueCountFrequency (%)
11 31
 
1.6%
10 35
 
1.8%
9 23
 
1.2%
8 75
 
3.8%
7 293
14.8%

w1_H02f
Real number (ℝ)

Missing 

When you were 14 years old, did your father or guardian work as …? 1. Employee [go to H03F/M] 2. Self-employed person [go to H04F/M] 3. Employed in law enforcement / armed forces [go to H03F/M] 4. Household 5. Retired 6. Other/unemployed 7. Missed/absent when I was 14 years old. 8. I prefer not to answer 9. Don’t know

Distinct9
Distinct (%)0.8%
Missing827
Missing (%)41.8%
Infinite0
Infinite (%)0.0%
Mean2.015611448
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:44.382419image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile7
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.909342663
Coefficient of variation (CV)0.9472771473
Kurtosis4.545028018
Mean2.015611448
Median Absolute Deviation (MAD)0
Skewness2.354502318
Sum2324
Variance3.645589404
MonotonicityNot monotonic
2025-02-26T17:43:44.423547image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 669
33.8%
2 325
 
16.4%
7 38
 
1.9%
8 28
 
1.4%
6 23
 
1.2%
9 20
 
1.0%
3 20
 
1.0%
5 17
 
0.9%
4 13
 
0.7%
(Missing) 827
41.8%
ValueCountFrequency (%)
1 669
33.8%
2 325
16.4%
3 20
 
1.0%
4 13
 
0.7%
5 17
 
0.9%
ValueCountFrequency (%)
9 20
1.0%
8 28
1.4%
7 38
1.9%
6 23
1.2%
5 17
0.9%

w1_H03af
Real number (ℝ)

Missing 

More precisely he or guardian is/was an….? 1. High-ranking executive (e.g., high government official, judge, university professor, general or colonel) 2. Senior employee – Manager/official (e.g., director, head researcher in private institutes, serving members of the military forces with a lower rank to a colonel, etc.) 3. Employee with high technical/scientific and professional qualification (e.g., engineer, chemist, physicist, social worker, graduate technician, publicist, etc.) 4. University lecturer (Associate professor) 5. Secondary school teacher 6. Primary school or pre-school teacher 7. Employee with high and middle qualification level (e.g., university researcher, chartered surveyor, accountant, data analyst, bank cashier, chief secretary, public relations agent, professional nurse, archivist, non-commissioned armed forces officer, etc.) 8. Secretary or similar 9. Managerial employee (e.g., front officer, receptionist, professional soldier, policeman and/or similar) 10. Salesman or similar 11. Worker in services (e.g., barman, waiter, chef, delivery person, domestic worker) 12. Foreman or supervisor 13. Skilled worker or similar (e.g., chief motor mechanic, chief printer, chief tool and die maker, chief electrician) 14. Semi-skilled worker (e.g., bricklayer, bus driver, cannery worker, carpenter, sheet metal worker, baker) 15. Unskilled worker 16. Agricultural worker – farm labourer–fisherman 17. Prefer not to say 18. Don’t know 19. Other position as employee

Distinct18
Distinct (%)2.7%
Missing1310
Missing (%)66.2%
Infinite0
Infinite (%)0.0%
Mean5.453731343
Minimum1
Maximum19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:44.464953image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q37
95-th percentile17
Maximum19
Range18
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.88738128
Coefficient of variation (CV)0.8961536555
Kurtosis0.737792657
Mean5.453731343
Median Absolute Deviation (MAD)1
Skewness1.345970969
Sum3654
Variance23.88649577
MonotonicityNot monotonic
2025-02-26T17:43:44.504100image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
2 212
 
10.7%
3 132
 
6.7%
7 81
 
4.1%
1 54
 
2.7%
9 24
 
1.2%
13 24
 
1.2%
4 18
 
0.9%
17 18
 
0.9%
5 17
 
0.9%
14 17
 
0.9%
Other values (8) 73
 
3.7%
(Missing) 1310
66.2%
ValueCountFrequency (%)
1 54
 
2.7%
2 212
10.7%
3 132
6.7%
4 18
 
0.9%
5 17
 
0.9%
ValueCountFrequency (%)
19 16
0.8%
18 10
0.5%
17 18
0.9%
15 7
 
0.4%
14 17
0.9%

w1_H03af_other
Text

Missing 

More precisely he or guardian is/was an….? Answer: Other, please specify: _____

Distinct15
Distinct (%)100.0%
Missing1965
Missing (%)99.2%
Memory size16.1 KiB
2025-02-26T17:43:44.669943image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length44
Median length15
Mean length16.06666667
Min length4

Characters and Unicode

Total characters241
Distinct characters36
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)100.0%

Sample

1st rowSecurity guard
2nd rowFootball player
3rd rowPrimary school head teacher
4th rowtechnician
5th rowSecurity
ValueCountFrequency (%)
security 2
 
6.5%
head 2
 
6.5%
minister 2
 
6.5%
guard 1
 
3.2%
football 1
 
3.2%
player 1
 
3.2%
primary 1
 
3.2%
school 1
 
3.2%
teacher 1
 
3.2%
technician 1
 
3.2%
Other values (18) 18
58.1%
2025-02-26T17:43:44.812348image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
i 20
 
8.3%
e 19
 
7.9%
a 19
 
7.9%
r 18
 
7.5%
o 18
 
7.5%
16
 
6.6%
t 15
 
6.2%
l 13
 
5.4%
c 12
 
5.0%
s 12
 
5.0%
Other values (26) 79
32.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 241
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
i 20
 
8.3%
e 19
 
7.9%
a 19
 
7.9%
r 18
 
7.5%
o 18
 
7.5%
16
 
6.6%
t 15
 
6.2%
l 13
 
5.4%
c 12
 
5.0%
s 12
 
5.0%
Other values (26) 79
32.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 241
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
i 20
 
8.3%
e 19
 
7.9%
a 19
 
7.9%
r 18
 
7.5%
o 18
 
7.5%
16
 
6.6%
t 15
 
6.2%
l 13
 
5.4%
c 12
 
5.0%
s 12
 
5.0%
Other values (26) 79
32.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 241
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
i 20
 
8.3%
e 19
 
7.9%
a 19
 
7.9%
r 18
 
7.5%
o 18
 
7.5%
16
 
6.6%
t 15
 
6.2%
l 13
 
5.4%
c 12
 
5.0%
s 12
 
5.0%
Other values (26) 79
32.8%

w1_H03bf
Real number (ℝ)

Missing 

w1_H04bf - More precisely he or guardian is/was an….? 1. Entrepreneur, CEO, Tenant farmer or similar with more than 50 employees 2. Entrepreneur, CEO, Tenant farmer or similar with 14-49 employees 3. High-rank administrator, managing director (e.g., banker, executive in big business, high government official, union official) 4. Freelance worker (e.g., teacher, engineer, artist, accountant) 5. Self-employed worker/ craftworker with 1-14 employees 6. Self-employed worker/ craftworker without employees 7. Occasional self-employed worker 8. Self-employed workers without specific qualification (e.g., delivery person, driver, street vendor) 9. Tenant farmer or similar with 1-14 employees 10. Tenant farmer or similar without employees 11. Family helper in industry and services 12. Family helper in the agricultural sector 13. Member of a Co-operative company 14. Prefer not to say 15. Don’t know 16. Other position as self-employed worker

Distinct14
Distinct (%)4.4%
Missing1664
Missing (%)84.0%
Infinite0
Infinite (%)0.0%
Mean6.025316456
Minimum1
Maximum16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:44.856284image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median5
Q37
95-th percentile16
Maximum16
Range15
Interquartile range (IQR)5

Descriptive statistics

Standard deviation5.058953235
Coefficient of variation (CV)0.8396161882
Kurtosis-0.3821387009
Mean6.025316456
Median Absolute Deviation (MAD)3
Skewness1.031968963
Sum1904
Variance25.59300784
MonotonicityNot monotonic
2025-02-26T17:43:44.896294image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
2 66
 
3.3%
5 63
 
3.2%
1 42
 
2.1%
16 35
 
1.8%
4 29
 
1.5%
6 20
 
1.0%
3 12
 
0.6%
15 12
 
0.6%
14 12
 
0.6%
8 7
 
0.4%
Other values (4) 18
 
0.9%
(Missing) 1664
84.0%
ValueCountFrequency (%)
1 42
2.1%
2 66
3.3%
3 12
 
0.6%
4 29
1.5%
5 63
3.2%
ValueCountFrequency (%)
16 35
1.8%
15 12
 
0.6%
14 12
 
0.6%
13 7
 
0.4%
10 1
 
0.1%

w1_H03bf_other
Text

Missing 

w1_H04bf_other - More precisely he or guardian is/was an….? Other, please specify: _____

Distinct25
Distinct (%)96.2%
Missing1954
Missing (%)98.7%
Memory size16.4 KiB
2025-02-26T17:43:44.995341image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length82
Median length36
Mean length20.34615385
Min length4

Characters and Unicode

Total characters529
Distinct characters46
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)92.3%

Sample

1st rowPrivate Doctor
2nd rowEntrepreneur with 3 employees
3rd rowjournalist
4th rowManaging a theatre company
5th rowDentist
ValueCountFrequency (%)
doctor 5
 
6.1%
employees 4
 
4.9%
a 4
 
4.9%
with 3
 
3.7%
firm 3
 
3.7%
lawyer 3
 
3.7%
of 3
 
3.7%
business 3
 
3.7%
medical 2
 
2.4%
partner 2
 
2.4%
Other values (47) 50
61.0%
2025-02-26T17:43:45.153363image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
56
 
10.6%
e 47
 
8.9%
a 41
 
7.8%
r 38
 
7.2%
o 36
 
6.8%
t 36
 
6.8%
n 34
 
6.4%
i 33
 
6.2%
s 24
 
4.5%
l 21
 
4.0%
Other values (36) 163
30.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 529
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
56
 
10.6%
e 47
 
8.9%
a 41
 
7.8%
r 38
 
7.2%
o 36
 
6.8%
t 36
 
6.8%
n 34
 
6.4%
i 33
 
6.2%
s 24
 
4.5%
l 21
 
4.0%
Other values (36) 163
30.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 529
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
56
 
10.6%
e 47
 
8.9%
a 41
 
7.8%
r 38
 
7.2%
o 36
 
6.8%
t 36
 
6.8%
n 34
 
6.4%
i 33
 
6.2%
s 24
 
4.5%
l 21
 
4.0%
Other values (36) 163
30.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 529
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
56
 
10.6%
e 47
 
8.9%
a 41
 
7.8%
r 38
 
7.2%
o 36
 
6.8%
t 36
 
6.8%
n 34
 
6.4%
i 33
 
6.2%
s 24
 
4.5%
l 21
 
4.0%
Other values (36) 163
30.8%

w1_H02m
Real number (ℝ)

Missing 

When you were 14 years old, did your mother or guardian work as …? 1. Employee [go to H03F/M] 2. Self-employed person [go to H04F/M] 3. Employed in law enforcement / armed forces [go to H03F/M] 4. Household 5. Retired 6. Other/unemployed 7. Missed/absent when I was 14 years old. 8. I prefer not to answer 9. Don’t know

Distinct9
Distinct (%)0.8%
Missing827
Missing (%)41.8%
Infinite0
Infinite (%)0.0%
Mean2.312228968
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:45.199494image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q34
95-th percentile6
Maximum9
Range8
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.853955412
Coefficient of variation (CV)0.8018044224
Kurtosis1.853591659
Mean2.312228968
Median Absolute Deviation (MAD)0
Skewness1.503237622
Sum2666
Variance3.43715067
MonotonicityNot monotonic
2025-02-26T17:43:45.241048image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 626
31.6%
4 262
 
13.2%
2 164
 
8.3%
6 43
 
2.2%
8 28
 
1.4%
9 11
 
0.6%
3 11
 
0.6%
7 5
 
0.3%
5 3
 
0.2%
(Missing) 827
41.8%
ValueCountFrequency (%)
1 626
31.6%
2 164
 
8.3%
3 11
 
0.6%
4 262
13.2%
5 3
 
0.2%
ValueCountFrequency (%)
9 11
 
0.6%
8 28
1.4%
7 5
 
0.3%
6 43
2.2%
5 3
 
0.2%

w1_H03am
Real number (ℝ)

Missing 

More precisely she or guardian is/was an….? 1. High-ranking executive (e.g., high government official, judge, university professor, general or colonel) 2. Senior employee – Manager/official (e.g., director, head researcher in private institutes, serving members of the military forces with a lower rank to a colonel, etc.) 3. Employee with high technical/scientific and professional qualification (e.g., engineer, chemist, physicist, social worker, graduate technician, publicist, etc.) 4. University lecturer (Associate professor) 5. Secondary school teacher 6. Primary school or pre-school teacher 7. Employee with high and middle qualification level (e.g., university researcher, chartered surveyor, accountant, data analyst, bank cashier, chief secretary, public relations agent, professional nurse, archivist, non-commissioned armed forces officer, etc.) 8. Secretary or similar 9. Managerial employee (e.g., front officer, receptionist, professional soldier, policeman and/or similar) 10. Salesman or similar 11. Worker in services (e.g., barman, waiter, chef, delivery person, domestic worker) 12. Foreman or supervisor 13. Skilled worker or similar (e.g., chief motor mechanic, chief printer, chief tool and die maker, chief electrician) 14. Semi-skilled worker (e.g., bricklayer, bus driver, cannery worker, carpenter, sheet metal worker, baker) 15. Unskilled worker 16. Agricultural worker – farm labourer–fisherman 17. Prefer not to say 18. Don’t know 19. Other position as employee

Distinct18
Distinct (%)2.9%
Missing1360
Missing (%)68.7%
Infinite0
Infinite (%)0.0%
Mean6.772580645
Minimum1
Maximum19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:45.280913image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median6
Q38
95-th percentile18
Maximum19
Range18
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.592424378
Coefficient of variation (CV)0.6780907631
Kurtosis0.8890917204
Mean6.772580645
Median Absolute Deviation (MAD)3
Skewness1.202822098
Sum4199
Variance21.09036167
MonotonicityNot monotonic
2025-02-26T17:43:45.322035image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
7 128
 
6.5%
3 93
 
4.7%
2 73
 
3.7%
5 62
 
3.1%
6 38
 
1.9%
9 35
 
1.8%
8 33
 
1.7%
4 28
 
1.4%
19 27
 
1.4%
1 23
 
1.2%
Other values (8) 80
 
4.0%
(Missing) 1360
68.7%
ValueCountFrequency (%)
1 23
 
1.2%
2 73
3.7%
3 93
4.7%
4 28
 
1.4%
5 62
3.1%
ValueCountFrequency (%)
19 27
1.4%
18 8
 
0.4%
17 11
0.6%
15 18
0.9%
14 10
 
0.5%

w1_H03am_other
Text

Missing 

More precisely she or guardian is/was an….? Answer: Other, please specify: _____

Distinct22
Distinct (%)95.7%
Missing1957
Missing (%)98.8%
Memory size16.3 KiB
2025-02-26T17:43:45.425555image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length59
Median length32
Mean length21.04347826
Min length3

Characters and Unicode

Total characters484
Distinct characters38
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)91.3%

Sample

1st rowTeaching Assistant in a special needs school
2nd rowdoctor
3rd rowGardener
4th rowClerical office job
5th rowReal estate agent
ValueCountFrequency (%)
in 4
 
5.4%
civil 4
 
5.4%
a 3
 
4.1%
office 3
 
4.1%
servant 3
 
4.1%
journalist 2
 
2.7%
school 2
 
2.7%
nurse 2
 
2.7%
staff 2
 
2.7%
company 2
 
2.7%
Other values (47) 47
63.5%
2025-02-26T17:43:45.585009image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
51
 
10.5%
e 45
 
9.3%
n 42
 
8.7%
i 39
 
8.1%
a 38
 
7.9%
r 33
 
6.8%
o 27
 
5.6%
s 27
 
5.6%
t 25
 
5.2%
c 24
 
5.0%
Other values (28) 133
27.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 484
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
51
 
10.5%
e 45
 
9.3%
n 42
 
8.7%
i 39
 
8.1%
a 38
 
7.9%
r 33
 
6.8%
o 27
 
5.6%
s 27
 
5.6%
t 25
 
5.2%
c 24
 
5.0%
Other values (28) 133
27.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 484
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
51
 
10.5%
e 45
 
9.3%
n 42
 
8.7%
i 39
 
8.1%
a 38
 
7.9%
r 33
 
6.8%
o 27
 
5.6%
s 27
 
5.6%
t 25
 
5.2%
c 24
 
5.0%
Other values (28) 133
27.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 484
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
51
 
10.5%
e 45
 
9.3%
n 42
 
8.7%
i 39
 
8.1%
a 38
 
7.9%
r 33
 
6.8%
o 27
 
5.6%
s 27
 
5.6%
t 25
 
5.2%
c 24
 
5.0%
Other values (28) 133
27.5%

w1_H03bm
Real number (ℝ)

Missing 

w1_H04bm - More precisely she or guardian is/was an….? 1. Entrepreneur, CEO, Tenant farmer or similar with more than 50 employees 2. Entrepreneur, CEO, Tenant farmer or similar with 14-49 employees 3. High-rank administrator, managing director (e.g., banker, executive in big business, high government official, union official) 4. Freelance worker (e.g., teacher, engineer, artist, accountant) 5. Self-employed worker/ craftworker with 1-14 employees 6. Self-employed worker/ craftworker without employees 7. Occasional self-employed worker 8. Self-employed workers without specific qualification (e.g., delivery person, driver, street vendor) 9. Tenant farmer or similar with 1-14 employees 10. Tenant farmer or similar without employees 11. Family helper in industry and services 12. Family helper in the agricultural sector 13. Member of a Co-operative company 14. Prefer not to say 15. Don’t know 16. Other position as self-employed worker

Distinct15
Distinct (%)9.4%
Missing1821
Missing (%)92.0%
Infinite0
Infinite (%)0.0%
Mean6.327044025
Minimum1
Maximum16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:45.632060image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median5
Q37
95-th percentile16
Maximum16
Range15
Interquartile range (IQR)3

Descriptive statistics

Standard deviation4.730050519
Coefficient of variation (CV)0.7475924777
Kurtosis0.05014127646
Mean6.327044025
Median Absolute Deviation (MAD)2
Skewness1.125724996
Sum1006
Variance22.37337792
MonotonicityNot monotonic
2025-02-26T17:43:45.673637image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
5 30
 
1.5%
4 26
 
1.3%
16 22
 
1.1%
2 20
 
1.0%
6 20
 
1.0%
1 15
 
0.8%
7 8
 
0.4%
3 4
 
0.2%
9 3
 
0.2%
8 3
 
0.2%
Other values (5) 8
 
0.4%
(Missing) 1821
92.0%
ValueCountFrequency (%)
1 15
0.8%
2 20
1.0%
3 4
 
0.2%
4 26
1.3%
5 30
1.5%
ValueCountFrequency (%)
16 22
1.1%
15 2
 
0.1%
14 2
 
0.1%
13 2
 
0.1%
12 1
 
0.1%

w1_H03bm_other
Text

Missing 

w1_H04bf_other - More precisely she or guardian is/was an….? Other, please specify: _____

Distinct20
Distinct (%)95.2%
Missing1959
Missing (%)98.9%
Memory size16.1 KiB
2025-02-26T17:43:45.753797image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length36
Median length14
Mean length12.85714286
Min length2

Characters and Unicode

Total characters270
Distinct characters33
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)90.5%

Sample

1st rowpsychologist
2nd rowEntrepreneur with 3 employees
3rd rowpsycotherapist
4th rowGP
5th rowDentist
ValueCountFrequency (%)
doctor 4
 
10.3%
dentist 3
 
7.7%
medical 2
 
5.1%
owner 2
 
5.1%
of 2
 
5.1%
own 2
 
5.1%
psychologist 1
 
2.6%
entrepreneur 1
 
2.6%
with 1
 
2.6%
3 1
 
2.6%
Other values (20) 20
51.3%
2025-02-26T17:43:45.887563image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
t 32
11.9%
o 25
 
9.3%
e 23
 
8.5%
r 23
 
8.5%
i 19
 
7.0%
18
 
6.7%
c 16
 
5.9%
n 14
 
5.2%
s 14
 
5.2%
a 13
 
4.8%
Other values (23) 73
27.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 270
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
t 32
11.9%
o 25
 
9.3%
e 23
 
8.5%
r 23
 
8.5%
i 19
 
7.0%
18
 
6.7%
c 16
 
5.9%
n 14
 
5.2%
s 14
 
5.2%
a 13
 
4.8%
Other values (23) 73
27.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 270
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
t 32
11.9%
o 25
 
9.3%
e 23
 
8.5%
r 23
 
8.5%
i 19
 
7.0%
18
 
6.7%
c 16
 
5.9%
n 14
 
5.2%
s 14
 
5.2%
a 13
 
4.8%
Other values (23) 73
27.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 270
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
t 32
11.9%
o 25
 
9.3%
e 23
 
8.5%
r 23
 
8.5%
i 19
 
7.0%
18
 
6.7%
c 16
 
5.9%
n 14
 
5.2%
s 14
 
5.2%
a 13
 
4.8%
Other values (23) 73
27.0%

w1_I00
Real number (ℝ)

Missing 

Do you want to participate? 1. Yes, 2. No [go to I05]

Distinct2
Distinct (%)0.2%
Missing846
Missing (%)42.7%
Infinite0
Infinite (%)0.0%
Mean1.507054674
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:45.934032image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5001708116
Coefficient of variation (CV)0.331886308
Kurtosis-2.002736717
Mean1.507054674
Median Absolute Deviation (MAD)0
Skewness-0.02825889734
Sum1709
Variance0.2501708408
MonotonicityNot monotonic
2025-02-26T17:43:45.972167image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 575
29.0%
1 559
28.2%
(Missing) 846
42.7%
ValueCountFrequency (%)
1 559
28.2%
2 575
29.0%
ValueCountFrequency (%)
2 575
29.0%
1 559
28.2%

w1_I01
Real number (ℝ)

Missing 

Your personal main smartphone is an: 1. iPhone1 [go to I05] 2. Android operating system (Samsung, etc...) with version 5.0 or higher?2 3. Another operating system [go to I05] 1Unfortunately, the app is ONLY available for Android devices. 2To know your operating system go to Settings on your smartphone and click ‘Info on the device/phone’

Distinct2
Distinct (%)0.4%
Missing1421
Missing (%)71.8%
Infinite0
Infinite (%)0.0%
Mean1.382826476
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:46.008986image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4865118589
Coefficient of variation (CV)0.3518242291
Kurtosis-1.772662323
Mean1.382826476
Median Absolute Deviation (MAD)0
Skewness0.4834178357
Sum773
Variance0.2366937888
MonotonicityNot monotonic
2025-02-26T17:43:46.049311image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 345
 
17.4%
2 214
 
10.8%
(Missing) 1421
71.8%
ValueCountFrequency (%)
1 345
17.4%
2 214
10.8%
ValueCountFrequency (%)
2 214
10.8%
1 345
17.4%

w1_I03
Real number (ℝ)

Missing 

How many Mobile phones do you have? N. |__|

Distinct2
Distinct (%)1.0%
Missing1772
Missing (%)89.5%
Infinite0
Infinite (%)0.0%
Mean1.086538462
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:46.086864image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2818358354
Coefficient of variation (CV)0.2593887335
Kurtosis6.842377457
Mean1.086538462
Median Absolute Deviation (MAD)0
Skewness2.962545395
Sum226
Variance0.07943143813
MonotonicityNot monotonic
2025-02-26T17:43:46.127098image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 190
 
9.6%
2 18
 
0.9%
(Missing) 1772
89.5%
ValueCountFrequency (%)
1 190
9.6%
2 18
 
0.9%
ValueCountFrequency (%)
2 18
 
0.9%
1 190
9.6%

w1_I04
Real number (ℝ)

Missing 

I agree to report my name to the person in charge of the research project entitled WeNet - Internet of us (https://www.internetofus.eu/) and to be contacted to receive further explanations for my possible participation. 1. Yes 2. No [go to I05]

Distinct2
Distinct (%)0.9%
Missing1767
Missing (%)89.2%
Infinite0
Infinite (%)0.0%
Mean1.037558685
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:46.164218image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.190574238
Coefficient of variation (CV)0.183675623
Kurtosis22.21000809
Mean1.037558685
Median Absolute Deviation (MAD)0
Skewness4.899136941
Sum221
Variance0.03631854017
MonotonicityNot monotonic
2025-02-26T17:43:46.200772image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 205
 
10.4%
2 8
 
0.4%
(Missing) 1767
89.2%
ValueCountFrequency (%)
1 205
10.4%
2 8
 
0.4%
ValueCountFrequency (%)
2 8
 
0.4%
1 205
10.4%

w1_BFI15_1
Unsupported

Missing  Rejected  Unsupported 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I often worry about trifles.

Missing1980
Missing (%)100.0%
Memory size17.5 KiB

w1_BFI15_2
Unsupported

Missing  Rejected  Unsupported 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I often feel disturbed.

Missing1980
Missing (%)100.0%
Memory size17.5 KiB

w1_BFI15_3
Unsupported

Missing  Rejected  Unsupported 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I always worry that something bad is going to happen.

Missing1980
Missing (%)100.0%
Memory size17.5 KiB

w1_BFI15_4
Unsupported

Missing  Rejected  Unsupported 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I like to plan things from the beginning.

Missing1980
Missing (%)100.0%
Memory size17.5 KiB

w1_BFI15_5
Unsupported

Missing  Rejected  Unsupported 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I am diligent in my work or study.

Missing1980
Missing (%)100.0%
Memory size17.5 KiB

w1_BFI15_6
Unsupported

Missing  Rejected  Unsupported 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: One of my characteristics is doing things logically and orderly.

Missing1980
Missing (%)100.0%
Memory size17.5 KiB

w1_BFI15_7
Unsupported

Missing  Rejected  Unsupported 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I think most people are well-intentioned.

Missing1980
Missing (%)100.0%
Memory size17.5 KiB

w1_BFI15_8
Unsupported

Missing  Rejected  Unsupported 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: Although there are some frauds in the society, I think most people can be trusted.

Missing1980
Missing (%)100.0%
Memory size17.5 KiB

w1_BFI15_9
Unsupported

Missing  Rejected  Unsupported 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: Although there are some bad things in human society (such as war, evil and fraud), I still believe that human nature is generally good.

Missing1980
Missing (%)100.0%
Memory size17.5 KiB

w1_BFI15_10
Unsupported

Missing  Rejected  Unsupported 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I'm a person who loves to take risks and break the rules.

Missing1980
Missing (%)100.0%
Memory size17.5 KiB

w1_BFI15_11
Unsupported

Missing  Rejected  Unsupported 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I like adventure.

Missing1980
Missing (%)100.0%
Memory size17.5 KiB

w1_BFI15_12
Unsupported

Missing  Rejected  Unsupported 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I have a spirit of adventure that no one else has.

Missing1980
Missing (%)100.0%
Memory size17.5 KiB

w1_BFI15_13
Unsupported

Missing  Rejected  Unsupported 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I'm bored by parties with lots of people.

Missing1980
Missing (%)100.0%
Memory size17.5 KiB

w1_BFI15_14
Unsupported

Missing  Rejected  Unsupported 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I try to avoid parties with lots of people and noisy environments.

Missing1980
Missing (%)100.0%
Memory size17.5 KiB

w1_BFI15_15
Unsupported

Missing  Rejected  Unsupported 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I like to go to social and recreational parties.

Missing1980
Missing (%)100.0%
Memory size17.5 KiB

w1_GT_BF15
Unsupported

Missing  Rejected  Unsupported 

Missing1980
Missing (%)100.0%
Memory size17.5 KiB

w1_N01
Unsupported

Missing  Rejected  Unsupported 

How did you make a decision to become a student? 1. By myself 2. Followed my parents' advice 3. Followed my brother/sister's advice4. Other, please specify: ____

Missing1980
Missing (%)100.0%
Memory size17.5 KiB

w1_N01_other
Unsupported

Missing  Rejected  Unsupported 

How did you make a decision to become a student? | Answer: Other, please specify: ____

Missing1980
Missing (%)100.0%
Memory size15.8 KiB

w1_N02
Unsupported

Missing  Rejected  Unsupported 

Are you a resident of the city? 1. Born in the city 2. Migrated to the city [go to N03]

Missing1980
Missing (%)100.0%
Memory size17.5 KiB

w1_N03
Unsupported

Missing  Rejected  Unsupported 

From where did you migrate? 1. Arkhangai 2. Bayan-Ulgii 3. Баянхонгор 4. Bayankhongor 5. Govi-Altai 6. Govisumber 7. Darkhan-Uul 8. Dornogovi 9. Dornod 10. Dundgovi 11. Zavkhan 12. Orkhon 13. Uvurkhangai 14. Umnugovi 15. Sukhbaatar 16. Selenge 17. Tuv 18. Uvs 19. Khovd 20. Khuvsgul 21. Khentii

Missing1980
Missing (%)100.0%
Memory size17.5 KiB

w1_N04
Unsupported

Missing  Rejected  Unsupported 

For how long are you living in the current place? 1. Less than 1 year 2. 1-2 years 3. 3-4 years 4. 4-5 years 5. 5 or more years

Missing1980
Missing (%)100.0%
Memory size17.5 KiB

w1_N05_1
Unsupported

Missing  Rejected  Unsupported 

Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.

Missing1980
Missing (%)100.0%
Memory size15.8 KiB

w1_N05_2
Unsupported

Missing  Rejected  Unsupported 

Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.

Missing1980
Missing (%)100.0%
Memory size15.8 KiB

w1_N05_3
Unsupported

Missing  Rejected  Unsupported 

Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.

Missing1980
Missing (%)100.0%
Memory size15.8 KiB

w1_N05_4
Unsupported

Missing  Rejected  Unsupported 

Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.

Missing1980
Missing (%)100.0%
Memory size15.8 KiB

w1_N05_5
Unsupported

Missing  Rejected  Unsupported 

Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.

Missing1980
Missing (%)100.0%
Memory size15.8 KiB

w1_N05_6
Unsupported

Missing  Rejected  Unsupported 

Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.

Missing1980
Missing (%)100.0%
Memory size15.8 KiB

w1_N05_7
Unsupported

Missing  Rejected  Unsupported 

Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.

Missing1980
Missing (%)100.0%
Memory size15.8 KiB

w1_N05_8
Unsupported

Missing  Rejected  Unsupported 

Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.

Missing1980
Missing (%)100.0%
Memory size15.8 KiB

w1_N06
Unsupported

Missing  Rejected  Unsupported 

Please, give the reason to migrate to the city 1. To study 2. Followed my parent's decision 3. Followed my brother/sister's decision 4. To work 5. To change my living place 6. Other, please specify: ____

Missing1980
Missing (%)100.0%
Memory size17.5 KiB

w1_N06_other
Unsupported

Missing  Rejected  Unsupported 

Please, give the reason to migrate to the city. | Answer: Other, please specify: ____

Missing1980
Missing (%)100.0%
Memory size15.8 KiB

w1_interviewtime
Real number (ℝ)

Zeros 

time of interview

Distinct1781
Distinct (%)89.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1096.982667
Minimum0
Maximum42561.4
Zeros183
Zeros (%)9.2%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:46.247427image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q191.4675
median779.91
Q31186.1825
95-th percentile2593.677
Maximum42561.4
Range42561.4
Interquartile range (IQR)1094.715

Descriptive statistics

Standard deviation2512.017417
Coefficient of variation (CV)2.289933554
Kurtosis98.59264818
Mean1096.982667
Median Absolute Deviation (MAD)552.525
Skewness8.770389027
Sum2172025.68
Variance6310231.501
MonotonicityNot monotonic
2025-02-26T17:43:46.297247image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 183
 
9.2%
1336.13 2
 
0.1%
1403.48 2
 
0.1%
66.88 2
 
0.1%
1337.05 2
 
0.1%
75.97 2
 
0.1%
604.95 2
 
0.1%
1821.32 2
 
0.1%
60.83 2
 
0.1%
77.1 2
 
0.1%
Other values (1771) 1779
89.8%
ValueCountFrequency (%)
0.0 183
9.2%
2.87 1
 
0.1%
4.01 1
 
0.1%
4.06 1
 
0.1%
4.38 1
 
0.1%
ValueCountFrequency (%)
42561.4 1
0.1%
36808.6 1
0.1%
29559.2 1
0.1%
27905.4 1
0.1%
27648.5 1
0.1%

w1_GT_A0
Real number (ℝ)

Missing  Skewed 

Distinct1071
Distinct (%)59.6%
Missing183
Missing (%)9.2%
Infinite0
Infinite (%)0.0%
Mean53.12105732
Minimum2.6
Maximum27086.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:46.346793image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2.6
5-th percentile4.29
Q16.32
median8.35
Q312.52
95-th percentile37.562
Maximum27086.6
Range27084
Interquartile range (IQR)6.2

Descriptive statistics

Standard deviation874.9746145
Coefficient of variation (CV)16.47133281
Kurtosis695.8012221
Mean53.12105732
Median Absolute Deviation (MAD)2.58
Skewness25.72333153
Sum95458.54
Variance765580.5761
MonotonicityNot monotonic
2025-02-26T17:43:46.399287image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.73 7
 
0.4%
7.42 6
 
0.3%
6.72 6
 
0.3%
5.84 6
 
0.3%
5.0 6
 
0.3%
7.76 6
 
0.3%
7.3 6
 
0.3%
5.36 5
 
0.3%
6.5 5
 
0.3%
9.11 5
 
0.3%
Other values (1061) 1739
87.8%
(Missing) 183
 
9.2%
ValueCountFrequency (%)
2.6 1
0.1%
2.75 1
0.1%
2.87 1
0.1%
3.05 1
0.1%
3.06 1
0.1%
ValueCountFrequency (%)
27086.6 1
0.1%
18923.0 1
0.1%
16445.8 1
0.1%
2618.83 1
0.1%
2245.82 1
0.1%

w1_GT_A1
Real number (ℝ)

Missing 

Distinct1507
Distinct (%)93.0%
Missing360
Missing (%)18.2%
Infinite0
Infinite (%)0.0%
Mean164.7930432
Minimum16.4
Maximum26483.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:46.449395image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum16.4
5-th percentile41.8995
Q157.105
median73.16
Q397.115
95-th percentile182.471
Maximum26483.4
Range26467
Interquartile range (IQR)40.01

Descriptive statistics

Standard deviation1069.883984
Coefficient of variation (CV)6.49228853
Kurtosis384.2486826
Mean164.7930432
Median Absolute Deviation (MAD)18.7
Skewness18.53496564
Sum266964.73
Variance1144651.74
MonotonicityNot monotonic
2025-02-26T17:43:46.502485image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
74.01 3
 
0.2%
77.96 3
 
0.2%
69.78 3
 
0.2%
68.58 3
 
0.2%
71.82 3
 
0.2%
55.37 3
 
0.2%
57.37 3
 
0.2%
48.35 3
 
0.2%
77.21 2
 
0.1%
43.87 2
 
0.1%
Other values (1497) 1592
80.4%
(Missing) 360
 
18.2%
ValueCountFrequency (%)
16.4 1
0.1%
17.27 1
0.1%
24.54 1
0.1%
26.98 1
0.1%
27.88 1
0.1%
ValueCountFrequency (%)
26483.4 1
0.1%
22303.4 1
0.1%
14473.7 1
0.1%
14319.7 1
0.1%
10621.6 1
0.1%

w1_GT_B
Real number (ℝ)

Missing 

Distinct1333
Distinct (%)97.4%
Missing612
Missing (%)30.9%
Infinite0
Infinite (%)0.0%
Mean375.8037208
Minimum6.25
Maximum16952.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:46.552407image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum6.25
5-th percentile108.506
Q1165.29
median216.69
Q3306.525
95-th percentile745.403
Maximum16952.2
Range16945.95
Interquartile range (IQR)141.235

Descriptive statistics

Standard deviation1007.663654
Coefficient of variation (CV)2.681356245
Kurtosis155.502077
Mean375.8037208
Median Absolute Deviation (MAD)63.34
Skewness11.5550839
Sum514099.49
Variance1015386.039
MonotonicityNot monotonic
2025-02-26T17:43:46.605064image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
131.61 3
 
0.2%
173.18 2
 
0.1%
111.7 2
 
0.1%
358.97 2
 
0.1%
140.88 2
 
0.1%
152.91 2
 
0.1%
178.85 2
 
0.1%
209.08 2
 
0.1%
258.43 2
 
0.1%
186.77 2
 
0.1%
Other values (1323) 1347
68.0%
(Missing) 612
30.9%
ValueCountFrequency (%)
6.25 1
0.1%
7.05 1
0.1%
7.32 1
0.1%
7.9 1
0.1%
8.02 1
0.1%
ValueCountFrequency (%)
16952.2 1
0.1%
15657.7 1
0.1%
14371.0 1
0.1%
12706.8 1
0.1%
12534.6 1
0.1%

w1_GT_C
Real number (ℝ)

Missing  Skewed 

Distinct1281
Distinct (%)95.8%
Missing643
Missing (%)32.5%
Infinite0
Infinite (%)0.0%
Mean171.4684144
Minimum2.69
Maximum28823.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:46.656763image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2.69
5-th percentile42.998
Q166.86
median88.24
Q3124.09
95-th percentile234.146
Maximum28823.8
Range28821.11
Interquartile range (IQR)57.23

Descriptive statistics

Standard deviation1008.165084
Coefficient of variation (CV)5.87959647
Kurtosis553.1370965
Mean171.4684144
Median Absolute Deviation (MAD)25.94
Skewness21.9741793
Sum229253.27
Variance1016396.836
MonotonicityNot monotonic
2025-02-26T17:43:46.778729image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
75.65 3
 
0.2%
74.72 3
 
0.2%
54.86 2
 
0.1%
71.84 2
 
0.1%
106.03 2
 
0.1%
61.33 2
 
0.1%
72.07 2
 
0.1%
74.14 2
 
0.1%
81.82 2
 
0.1%
64.35 2
 
0.1%
Other values (1271) 1315
66.4%
(Missing) 643
32.5%
ValueCountFrequency (%)
2.69 1
0.1%
4.24 1
0.1%
5.09 1
0.1%
5.46 1
0.1%
6.2 1
0.1%
ValueCountFrequency (%)
28823.8 1
0.1%
15859.8 1
0.1%
12789.7 1
0.1%
7942.68 1
0.1%
4371.04 1
0.1%

w1_GT_D
Real number (ℝ)

Missing  Skewed 

Distinct1162
Distinct (%)88.8%
Missing671
Missing (%)33.9%
Infinite0
Infinite (%)0.0%
Mean60.72757066
Minimum4.65
Maximum25214.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:46.831298image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum4.65
5-th percentile12.498
Q119.29
median28.86
Q341.47
95-th percentile78.062
Maximum25214.7
Range25210.05
Interquartile range (IQR)22.18

Descriptive statistics

Standard deviation711.7435061
Coefficient of variation (CV)11.7202697
Kurtosis1196.761879
Mean60.72757066
Median Absolute Deviation (MAD)10.48
Skewness34.04842445
Sum79492.39
Variance506578.8185
MonotonicityNot monotonic
2025-02-26T17:43:46.884315image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15.11 4
 
0.2%
29.03 3
 
0.2%
34.67 3
 
0.2%
25.86 3
 
0.2%
28.12 3
 
0.2%
41.57 3
 
0.2%
32.72 3
 
0.2%
29.33 3
 
0.2%
12.86 3
 
0.2%
36.14 2
 
0.1%
Other values (1152) 1279
64.6%
(Missing) 671
33.9%
ValueCountFrequency (%)
4.65 1
0.1%
5.95 1
0.1%
5.99 1
0.1%
6.3 1
0.1%
6.66 1
0.1%
ValueCountFrequency (%)
25214.7 1
0.1%
4840.78 1
0.1%
1923.76 1
0.1%
1135.1 1
0.1%
803.16 1
0.1%

w1_GT_E
Real number (ℝ)

Missing  Skewed 

Distinct1231
Distinct (%)96.2%
Missing701
Missing (%)35.4%
Infinite0
Infinite (%)0.0%
Mean198.3869038
Minimum4.57
Maximum21425.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:46.935271image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum4.57
5-th percentile77.364
Q1109.23
median134.35
Q3169.255
95-th percentile298.546
Maximum21425.4
Range21420.83
Interquartile range (IQR)60.025

Descriptive statistics

Standard deviation784.7219309
Coefficient of variation (CV)3.955512767
Kurtosis510.0492163
Mean198.3869038
Median Absolute Deviation (MAD)28.37
Skewness21.49860788
Sum253736.85
Variance615788.5088
MonotonicityNot monotonic
2025-02-26T17:43:46.985225image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
96.51 2
 
0.1%
145.91 2
 
0.1%
123.28 2
 
0.1%
102.48 2
 
0.1%
108.55 2
 
0.1%
135.01 2
 
0.1%
172.07 2
 
0.1%
108.79 2
 
0.1%
120.28 2
 
0.1%
128.55 2
 
0.1%
Other values (1221) 1259
63.6%
(Missing) 701
35.4%
ValueCountFrequency (%)
4.57 1
0.1%
4.73 1
0.1%
5.4 1
0.1%
6.96 1
0.1%
8.38 1
0.1%
ValueCountFrequency (%)
21425.4 1
0.1%
12556.7 1
0.1%
12232.1 1
0.1%
3116.91 1
0.1%
2753.7 1
0.1%

w1_GT_F
Real number (ℝ)

Missing 

Distinct1126
Distinct (%)88.7%
Missing710
Missing (%)35.9%
Infinite0
Infinite (%)0.0%
Mean35.37389764
Minimum3.66
Maximum2060.21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:47.035750image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum3.66
5-th percentile7.2
Q112.435
median22.39
Q338.28
95-th percentile74.816
Maximum2060.21
Range2056.55
Interquartile range (IQR)25.845

Descriptive statistics

Standard deviation94.2191492
Coefficient of variation (CV)2.663521848
Kurtosis341.1430087
Mean35.37389764
Median Absolute Deviation (MAD)11.69
Skewness16.93378677
Sum44924.85
Variance8877.248075
MonotonicityNot monotonic
2025-02-26T17:43:47.085784image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14.97 4
 
0.2%
6.89 4
 
0.2%
9.29 4
 
0.2%
8.55 3
 
0.2%
23.49 3
 
0.2%
29.46 3
 
0.2%
9.85 3
 
0.2%
13.21 3
 
0.2%
13.64 3
 
0.2%
7.88 3
 
0.2%
Other values (1116) 1237
62.5%
(Missing) 710
35.9%
ValueCountFrequency (%)
3.66 1
0.1%
4.63 1
0.1%
4.77 1
0.1%
4.82 1
0.1%
4.9 1
0.1%
ValueCountFrequency (%)
2060.21 1
0.1%
2051.36 1
0.1%
790.87 1
0.1%
760.09 1
0.1%
669.56 1
0.1%

w1_GT_G1
Real number (ℝ)

Missing  Skewed 

Distinct1177
Distinct (%)94.2%
Missing730
Missing (%)36.9%
Infinite0
Infinite (%)0.0%
Mean135.64552
Minimum3.53
Maximum28860.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:47.134695image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum3.53
5-th percentile31.0535
Q153.545
median70.74
Q392.4325
95-th percentile162.841
Maximum28860.8
Range28857.27
Interquartile range (IQR)38.8875

Descriptive statistics

Standard deviation957.1034462
Coefficient of variation (CV)7.055916378
Kurtosis686.8184027
Mean135.64552
Median Absolute Deviation (MAD)19
Skewness24.68144612
Sum169556.9
Variance916047.0068
MonotonicityNot monotonic
2025-02-26T17:43:47.186107image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
74.36 3
 
0.2%
67.07 3
 
0.2%
65.19 3
 
0.2%
51.57 2
 
0.1%
60.56 2
 
0.1%
72.66 2
 
0.1%
61.8 2
 
0.1%
119.36 2
 
0.1%
45.01 2
 
0.1%
79.95 2
 
0.1%
Other values (1167) 1227
62.0%
(Missing) 730
36.9%
ValueCountFrequency (%)
3.53 1
0.1%
3.67 1
0.1%
3.73 1
0.1%
4.43 1
0.1%
4.91 1
0.1%
ValueCountFrequency (%)
28860.8 1
0.1%
13543.1 1
0.1%
8475.08 1
0.1%
6028.58 1
0.1%
4326.37 1
0.1%

w1_GT_G2
Real number (ℝ)

Missing  Skewed 

Distinct1156
Distinct (%)95.5%
Missing770
Missing (%)38.9%
Infinite0
Infinite (%)0.0%
Mean128.5083636
Minimum2.64
Maximum13125.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:47.238797image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2.64
5-th percentile26.141
Q160.7375
median81.075
Q3112.185
95-th percentile222.645
Maximum13125.3
Range13122.66
Interquartile range (IQR)51.4475

Descriptive statistics

Standard deviation469.5956399
Coefficient of variation (CV)3.654202938
Kurtosis512.5769858
Mean128.5083636
Median Absolute Deviation (MAD)24.805
Skewness20.51399097
Sum155495.12
Variance220520.065
MonotonicityNot monotonic
2025-02-26T17:43:47.292787image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
76.78 3
 
0.2%
77.46 3
 
0.2%
69.18 3
 
0.2%
99.0 2
 
0.1%
75.84 2
 
0.1%
32.52 2
 
0.1%
129.34 2
 
0.1%
77.13 2
 
0.1%
74.19 2
 
0.1%
50.79 2
 
0.1%
Other values (1146) 1187
59.9%
(Missing) 770
38.9%
ValueCountFrequency (%)
2.64 1
0.1%
2.65 1
0.1%
2.78 1
0.1%
3.0 1
0.1%
3.13 1
0.1%
ValueCountFrequency (%)
13125.3 1
0.1%
5365.83 1
0.1%
4699.61 1
0.1%
4228.12 1
0.1%
3355.18 1
0.1%

w1_GT_G3
Real number (ℝ)

Missing 

Distinct1123
Distinct (%)95.3%
Missing801
Missing (%)40.5%
Infinite0
Infinite (%)0.0%
Mean111.4142748
Minimum3.42
Maximum4250.01
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:47.344370image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum3.42
5-th percentile32.557
Q163.3
median83.12
Q3110.8
95-th percentile226.538
Maximum4250.01
Range4246.59
Interquartile range (IQR)47.5

Descriptive statistics

Standard deviation199.312458
Coefficient of variation (CV)1.788931072
Kurtosis239.5943051
Mean111.4142748
Median Absolute Deviation (MAD)22.01
Skewness13.98735542
Sum131357.43
Variance39725.45593
MonotonicityNot monotonic
2025-02-26T17:43:47.394630image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
72.16 3
 
0.2%
77.94 3
 
0.2%
89.88 2
 
0.1%
91.19 2
 
0.1%
57.25 2
 
0.1%
107.37 2
 
0.1%
63.12 2
 
0.1%
66.03 2
 
0.1%
79.33 2
 
0.1%
86.17 2
 
0.1%
Other values (1113) 1157
58.4%
(Missing) 801
40.5%
ValueCountFrequency (%)
3.42 1
0.1%
3.53 1
0.1%
4.0 1
0.1%
5.79 1
0.1%
6.23 1
0.1%
ValueCountFrequency (%)
4250.01 1
0.1%
3114.7 1
0.1%
2881.61 1
0.1%
1844.24 1
0.1%
1511.61 1
0.1%

w1_GT_H1
Real number (ℝ)

Missing  Skewed 

Distinct1029
Distinct (%)88.9%
Missing822
Missing (%)41.5%
Infinite0
Infinite (%)0.0%
Mean68.49611399
Minimum3.05
Maximum21736.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:47.444921image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum3.05
5-th percentile11.155
Q117.46
median25.21
Q337.515
95-th percentile83.4175
Maximum21736.3
Range21733.25
Interquartile range (IQR)20.055

Descriptive statistics

Standard deviation737.954076
Coefficient of variation (CV)10.7736634
Kurtosis708.7765084
Mean68.49611399
Median Absolute Deviation (MAD)9.08
Skewness25.90362623
Sum79318.5
Variance544576.2183
MonotonicityNot monotonic
2025-02-26T17:43:47.495489image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19.23 4
 
0.2%
21.58 4
 
0.2%
21.46 3
 
0.2%
25.22 3
 
0.2%
25.49 3
 
0.2%
15.73 3
 
0.2%
30.52 3
 
0.2%
23.31 3
 
0.2%
24.73 3
 
0.2%
21.28 3
 
0.2%
Other values (1019) 1126
56.9%
(Missing) 822
41.5%
ValueCountFrequency (%)
3.05 1
0.1%
3.25 1
0.1%
3.47 1
0.1%
3.7 1
0.1%
3.71 1
0.1%
ValueCountFrequency (%)
21736.3 1
0.1%
12318.8 1
0.1%
2122.7 1
0.1%
1289.62 1
0.1%
998.88 1
0.1%

w1_GT_H2
Real number (ℝ)

Missing 

Distinct1090
Distinct (%)94.5%
Missing827
Missing (%)41.8%
Infinite0
Infinite (%)0.0%
Mean65.54332177
Minimum5.29
Maximum1608.26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:47.544396image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum5.29
5-th percentile20.1
Q136.39
median53.6
Q375.82
95-th percentile134.666
Maximum1608.26
Range1602.97
Interquartile range (IQR)39.43

Descriptive statistics

Standard deviation73.82588149
Coefficient of variation (CV)1.126367714
Kurtosis213.2278673
Mean65.54332177
Median Absolute Deviation (MAD)19.27
Skewness12.04431444
Sum75571.45
Variance5450.260778
MonotonicityNot monotonic
2025-02-26T17:43:47.598026image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
24.12 3
 
0.2%
86.55 2
 
0.1%
65.03 2
 
0.1%
51.75 2
 
0.1%
25.18 2
 
0.1%
53.6 2
 
0.1%
52.13 2
 
0.1%
38.0 2
 
0.1%
82.91 2
 
0.1%
65.18 2
 
0.1%
Other values (1080) 1132
57.2%
(Missing) 827
41.8%
ValueCountFrequency (%)
5.29 1
0.1%
6.73 1
0.1%
7.7 1
0.1%
7.97 1
0.1%
9.22 1
0.1%
ValueCountFrequency (%)
1608.26 1
0.1%
1167.59 1
0.1%
594.13 1
0.1%
504.59 1
0.1%
456.69 1
0.1%

w1_GT_I1
Real number (ℝ)

Missing  Skewed 

Distinct1065
Distinct (%)93.9%
Missing846
Missing (%)42.7%
Infinite0
Infinite (%)0.0%
Mean62.68169312
Minimum3.06
Maximum3365.92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:47.650373image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum3.06
5-th percentile10.736
Q125.13
median45.815
Q373.3575
95-th percentile158.171
Maximum3365.92
Range3362.86
Interquartile range (IQR)48.2275

Descriptive statistics

Standard deviation117.226998
Coefficient of variation (CV)1.870195143
Kurtosis566.3872539
Mean62.68169312
Median Absolute Deviation (MAD)23.035
Skewness20.97554785
Sum71081.04
Variance13742.16907
MonotonicityNot monotonic
2025-02-26T17:43:47.702438image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48.72 3
 
0.2%
43.06 3
 
0.2%
22.53 3
 
0.2%
25.83 2
 
0.1%
48.78 2
 
0.1%
64.31 2
 
0.1%
11.04 2
 
0.1%
17.91 2
 
0.1%
23.81 2
 
0.1%
120.37 2
 
0.1%
Other values (1055) 1111
56.1%
(Missing) 846
42.7%
ValueCountFrequency (%)
3.06 1
0.1%
4.85 1
0.1%
4.88 2
0.1%
4.9 1
0.1%
4.93 1
0.1%
ValueCountFrequency (%)
3365.92 1
0.1%
1240.12 1
0.1%
609.19 1
0.1%
484.58 1
0.1%
476.28 1
0.1%

w1_GT_I2
Real number (ℝ)

Missing 

Distinct587
Distinct (%)63.3%
Missing1053
Missing (%)53.2%
Infinite0
Infinite (%)0.0%
Mean6.165329018
Minimum1.43
Maximum38.92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2025-02-26T17:43:47.754306image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1.43
5-th percentile2.51
Q13.85
median5.09
Q37.21
95-th percentile13.3
Maximum38.92
Range37.49
Interquartile range (IQR)3.36

Descriptive statistics

Standard deviation4.070031903
Coefficient of variation (CV)0.6601483702
Kurtosis15.3221687
Mean6.165329018
Median Absolute Deviation (MAD)1.57
Skewness3.183001421
Sum5715.26
Variance16.56515969
MonotonicityNot monotonic
2025-02-26T17:43:47.809790image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.65 7
 
0.4%
4.69 6
 
0.3%
4.82 6
 
0.3%
4.17 5
 
0.3%
3.33 5
 
0.3%
4.37 5
 
0.3%
2.73 5
 
0.3%
3.79 5
 
0.3%
3.53 5
 
0.3%
4.97 4
 
0.2%
Other values (577) 874
44.1%
(Missing) 1053
53.2%
ValueCountFrequency (%)
1.43 1
0.1%
1.48 1
0.1%
1.49 1
0.1%
1.5 1
0.1%
1.61 1
0.1%
ValueCountFrequency (%)
38.92 1
0.1%
34.2 1
0.1%
33.95 1
0.1%
31.85 1
0.1%
30.2 1
0.1%

w1_GT_N
Unsupported

Missing  Rejected  Unsupported 

Missing1980
Missing (%)100.0%
Memory size17.5 KiB